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db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.295ca3fee9ceab89_68" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe lkHyyc"><h1 id="h.bz7mwxvi3zhn" dir="ltr" class="CDt4Ke zfr3Q duRjpb" style="text-align: center;">Posters</h1></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_59" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_56" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.6z2j4lvxn4v" class="GV3q8e aP9Z7e"></div><h3 id="h.6z2j4lvxn4v_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.6z2j4lvxn4v_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.6z2j4lvxn4v" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.6z2j4lvxn4v_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div>Applied Probability</div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mnerh</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Alqahtani (Warwick):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fvn1kiqbl5b49r9d%2FMnerh%2520Alqahtani%2520-%2520Applied%2520Probability_Mnerh_Alqahtani.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw03NmCTMkQ6eeE164NPVCgu" target="_blank">Rare events computations of non-convex rate functions</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Krzysztof</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Szajowski (Wrocław):</span> <span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzvnt9pbpzdnom1r%2FKrzysztof%2520Szajowski%2520-%2520Applied%2520Probability_Krzysztof_Szajowski.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1OGuhKSy1XAfTlTf48di7P" target="_blank">A measure of the importance of roads based on topography and traffic intensity</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_64" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_67" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.str359pkbpjn" class="GV3q8e aP9Z7e"></div><h3 id="h.str359pkbpjn_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.str359pkbpjn_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.str359pkbpjn" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.str359pkbpjn_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Bayesian Statistics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nazmul</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ahsan (Montreal):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fm0qxp48whpkhkyh%2FNazmul%2520Ahsan%2520-%2520Bayesian%2520Statistics_Nazmul_Ahsan.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2gopRsLQZKgbSULoC9aWIs" target="_blank">On outlier robustness of Bayesian analysis for the stochastic volatility model</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Filippo</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ascolani (Mailand):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Ffgnmpvtdzmmk9oo%2FFilippo%2520Ascolani%2520-%2520BayesianStatistics_Filippo_Ascolani.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw23wjX7e9FsOv6CCbADTfMM" target="_blank">Predictive inference with Fleming–Viot-driven dependent Dirichlet processes</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chris</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Carmona (Oxford):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F8nirz6yqffd8aox%2FChristian%2520Carmona%2520-%25202020-08-14%252011.01.35%2520-%2520Scalable%2520Modularised%2520Bayesian%2520Inference%2520with%2520Normalising%2520Flows_Chris_Carmona.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3oJD_oBB3dV-fSO1QWLvU8" target="_blank">Scalable Modularised Bayesian Inference with Normalising Flows</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Suman</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Guha (Kolkata):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Flzathtic57uprci%2FSuman%2520Guha%2520-%2520Bayesian%2520Statistics_Suman_Guha.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2R0TU0bKOc3qu1wDm6wQPW" target="_blank">Bayesian Analysis with Gaussian Random Functional Dynamic Spatio-Temporal Model</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Siddhesh</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kulkarni (Louisville): </span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Filz1iom9k352vop%2FSiddhesh%2520Kulkarni%2520-%2520Bayesian%2520Statistics_Kulkarni_Siddhesh.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2SsGug1c5eLTJvPBryvf0P" target="_blank">Data aug</a></span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Filz1iom9k352vop%2FSiddhesh%2520Kulkarni%2520-%2520Bayesian%2520Statistics_Kulkarni_Siddhesh.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2SsGug1c5eLTJvPBryvf0P" target="_blank">mentation algorithm for Bayesian von Mises mixture distribution</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;">I<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">nass Sekkat (Paris):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F9me3dlwiucrowjr%2FSekkat%2520Inass%2520-%2520Bayesian%2520Statistics_inass_sekkat.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3nu2yFNBDUJcSagjjt2GEf" target="_blank">Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Deborah</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sulem (Oxford):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fjk7lxfuz5hm5jrm%2FDeborah%2520Sulem%2520-%2520bayesian_statistics_deborah_sulem.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0lmdn4_U9vOOlRrVq722R-" target="_blank">Bayesian estimation of nonlinear Hawkes processes</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_104" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_107" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.9xk1ux4l2d6b" class="GV3q8e aP9Z7e"></div><h3 id="h.9xk1ux4l2d6b_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.9xk1ux4l2d6b_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.9xk1ux4l2d6b" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.9xk1ux4l2d6b_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Case studies in statistics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Macy</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Belle (San Antonio):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F7a2bdiwkt90yyab%2FMacy%2520Belle%2520-%2520Case%2520studies%2520in%2520statistics_Macy_Belle.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2RYkwAumj6VdeoR8NGIe5R" target="_blank">Stochastic SIR-based Examination of the Policy Effects on the COVID-19 Spread in the U.S. States</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Jeremy Garcia (San Antonio):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fsod2rztxzvm3muq%2FJeremy%2520Garcia%2520-%2520Case%2520studies%2520in%2520statistics_Jeremy_Garcia.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0tVQqGAcl4ZBJSxXFyua0z" target="_blank">Quantum Computation, Quantum Information, and Its Impact on Data Science</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Laura</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Gunn (Charlotte</span>, London): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzr04dhfwnszi1ly%2FLaura%2520Gunn%2520-%2520Case%2520Studies%2520in%2520Statistics_Laura_Gunn.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3fB8b34hNop6jvNq5L76St" target="_blank">Impact of the Luton Social Prescribing Programme on Energy Expenditure: Case Study Using Bayesian Zero-Inflated Negative Binomial Modeling</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nathan</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kim (San Antonio):</span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fjoywl9o2jhf986s%2FNathan%2520Kim%2520-%2520Case%2520studies%2520in%2520statistics_Nathan_Kim.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3rSuMK_4XwdWEcFe2F7g53" target="_blank"> </a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fjoywl9o2jhf986s%2FNathan%2520Kim%2520-%2520Case%2520studies%2520in%2520statistics_Nathan_Kim.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3rSuMK_4XwdWEcFe2F7g53" target="_blank">A Statistician Teaches Deep Learning: From Fundamentals to Applications</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">George</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mbaeyi (Ndufu-Alike):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fpyrmy90cuc8bj7p%2FGeorge%2520Mbaeyi%2520-%2520Case%2520studies%2520in%2520Statistics_George_Mbaeyi.pdf.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3SN0OXG8-XJWJjnIfF3531" target="_blank">On Discriminant Analysis with Mixed Non-normal Variables</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Oluwaseun</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Otekunrin (Ibadan):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fh884wgcpacdmlup%2FOluwaseun%2520Otekunrin%2520-%2520Case%2520studies%2520in%2520Statistics_Oluwaseun_Otekunrin.pdf.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1s72Mgq2M83T8GJXgzKhT8" target="_blank">Farmers’ Preferences for Farming Enclaves in Nigeria: A Discrete Choice Experiment</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mina</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Song (San Antonio):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F251dw5xiuokjt1r%2FMina%2520Song%2520-%2520Case%2520studies%2520in%2520statistics_Mina_Song.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1Cb-iP1s4kE8mTf058CgIh" target="_blank">Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Brahim</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zirari (Saida):</span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fa7d44j2homo27mx%2FBrahim%2520Zirari%2520-%2520How%2520to%2520measure%2520democracy%2520in%2520emperical%2520research_Brahim_Zirari%2520.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1bjhB3cFWpcXFfEU50CcB1" target="_blank"> </a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fa7d44j2homo27mx%2FBrahim%2520Zirari%2520-%2520How%2520to%2520measure%2520democracy%2520in%2520emperical%2520research_Brahim_Zirari%2520.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1bjhB3cFWpcXFfEU50CcB1" target="_blank">How to measure democracy in empirical research : A statistical review case of Algeria</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_112" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_115" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.r9j7r5mda6fx" class="GV3q8e aP9Z7e"></div><h3 id="h.r9j7r5mda6fx_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.r9j7r5mda6fx_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.r9j7r5mda6fx" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.r9j7r5mda6fx_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Computational statistics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Stanisla</span>v <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Anatolyev</span> (Prague): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fyqxclmpzjlqdfl3%2FStanislav%2520Anatolyev%2520-%2520Computational%2520Statistics_Stanislav_Anatolyev.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3XyXEIWBEretV-VJIL-HXu" target="_blank">Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Wenyu</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chen (</span>Boston): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fw2me1espsk9l4s4%2FWenyu%2520Chen%2520-%2520Computational%2520statistics_Wenyu_Chen.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2to055LcjAtQM6m9xmougF" target="_blank">Multivariate Convex Regression at Scale</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Andrea C.</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Garcia Angulo (Leuven):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fsucbuxamt7c96wl%2FAndrea%2520C.%2520Garcia%2520Angulo%2520-%2520Computational%2520Statistics_Andrea%2520C_Garcia%2520Angulo.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1H3V6gw2VFrmkuowB-s_Hu" target="_blank">Bootstrap confidence intervals for post selection and model averaging estimators</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Wei</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Jiang (Palaiseau):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fv3qld6y8rsltcm2%2FJIANG%2520Wei%2520-%2520ComputationalStatistics_Wei_JIANG.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3zG9SOXhB0H4syLtPrgWhA" target="_blank">missKnockoff: controlled variable selection with missing values</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Shuhei</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mano</span> (Tokio): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Flo2sxfl9215lws4%2FMano%2520Shuhei%2520-%2520Computational_Statistics_Shuhei_Mano.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3P4PVd_Q5wclBuSdreKRXZ" target="_blank">An algorithm for direct sampling from toric models with computational algebra</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Daniel Leonardo</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ramírez Orozco (Pernambuco):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2For9dnxd61kxv73l%2FDaniel%2520Leonardo%2520Ram%25C3%25ADrez%2520orozco%2520-%2520Computational_%2520statistics_Daniel_Ramirez_Orozco.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0m-yAr7sh7jU_V_EOdeVBx" target="_blank">On Stochastic Comparison using majorization</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_80" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_83" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.dmwxghtfqg3h" class="GV3q8e aP9Z7e"></div><h3 id="h.dmwxghtfqg3h_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.dmwxghtfqg3h_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.dmwxghtfqg3h" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.dmwxghtfqg3h_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">High-dimensional Statistics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Michael</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Celentano (Stanford):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fx49gdp9ysid34e6%2FMichael%2520Celentano%2520-%2520High-dimensional%2520Statistics_Michael_Celentano.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0_27OtwfJHTLbseE1S5jYK" target="_blank">The Lasso with general Gaussian design with application to hypothesis testing</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Xiongzhi</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chen (Pullman):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzeikswuu1zrqsqy%2FXiongzhi%2520Chen%2520-%2520High_Dimensional_Statistics_Xiongzhi_Chen.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1g7c29KqysLRyXa84_JR4H" target="_blank">Estimating the proportion of false null hypotheses via integral equations</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Aziz</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lmakri (Tétouan):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fy0dzr63idf4rlqp%2F_LMAKRI%2520Aziz%2520-%2520Aziz%2520Lmakri_%2520Randomness%2520or%2520non-linearity%2520optimal%2520detection%2520for%2520high%2520dimensional%2520data.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2Nc8-sq6Ca_xEBBgNlnLcA" target="_blank">Randomness or non-linearity: optimal detection for high dimensional data</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kangyang </span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Luo (Shanghai):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fjk4rey1zs2hsomp%2FKangyang%2520Luo%2520-%2520High-dimensional%2520statistics_Kangyang_Luo.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0rX6S5DWUs4WmGuT8We8uN" target="_blank">An Improved SVM-RFE Based on F-Statistic and mPDC for Gene Selection in Cancer Classification</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Yuetian</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Luo (Madison):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fbghu4baqso8hpm1%2FYuetian%2520Luo%2520-%2520High-dimensional%2520Statistics_Yuetian_Luo.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2OFdlx75uni4XshLne-UNh" target="_blank">Tensor clustering with planted structures: Statistical optimality and computational limits</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Michael</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">LuValle (New Brunswick):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fc8sa7xwbuc4wbwt%2FMichael%2520LuValle%2520-%2520High-Dimensional%2520Statistics_New_Michael_LuValle.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3V6d5kzqnB9Z_0Z42upbQN" target="_blank">Some issues of inference in high dimensional chaotic systems</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kimon</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ntotsis (Thessaloniki):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Ffco1d6naosvbcl1%2FKimon%2520Ntotsis%2520-%2520High-dimensional%2520Statistics_Kimon_Ntotsis.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1iTsZwoHL1CfU2HVf_YYmV" target="_blank">Multivariate Dimensionality Reduction for Public Pension Benefits Forecasting</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lu</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zhang (Boston):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fznzb7cfmnsalj2u%2FLu%2520Zhang%2520-%2520High-dimensionalStatistics_Lu_Zhang.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0rKacBRoSeRdmtKwVRJamR" target="_blank">Floodgate: inference for model-free variable importance</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_24" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_27" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.6cf8alng03s2" class="GV3q8e aP9Z7e"></div><h3 id="h.6cf8alng03s2_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.6cf8alng03s2_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.6cf8alng03s2" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.6cf8alng03s2_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Integrable probability</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Milind</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Hegde (Berkeley):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F2r7ym2b360ipqfq%2FMilind%2520Hegde%2520-%2520Integrable%2520probability_Milind_Hegde.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1ciOu9RIb-ABGm2pcfDyhz" target="_blank">Probabilistic and geometric investigations of KPZ: Brownian Gibbs, geodesic watermelons, and bootstrapping</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Andrei</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Prokhorov (Ann Arbour):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F0sny5cdldhvh0g6%2FAndrei%2520Prokhorov%2520-%2520Integrable%2520Probability_Andrei_Prokhorov.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0rLEaTDBQBZcvCx2ybk4xl" target="_blank">On beta =6 Tracy-Widom distribution and the second Calogero-Painleve system</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chenyang</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zhong (Stanford):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fm76yma7oavdy2y2%2FChenyang%2520Zhong%2520-%2520Integrable%2520Probability_Chenyang_Zhong.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1GTmvmSFFExeamOrQSBIUK" target="_blank">Large deviation bounds for the Airy point process</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_52" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_55" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.ei3l25gxl7g" class="GV3q8e aP9Z7e"></div><h3 id="h.ei3l25gxl7g_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.ei3l25gxl7g_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.ei3l25gxl7g" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.ei3l25gxl7g_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Limit theorems, large deviations and extremes</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Arturo</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Jaramillo Gil (Luxembourg):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Frxkn9cytd4ar9cb%2FArturo%2520Jaramillo%2520-%2520arturo_jaramillo.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2ctgqzmQzFyRKwP9poaArz" target="_blank">Stein's method in probabilistic number theory</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Yin-Ting</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Liao (Providence):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Ftjj2li8r3luo43r%2FYin-Ting%2520Liao%2520-%25202020-08-09%252015.29.47%2520-%2520Limit%2520theorems%252C%2520large%2520deviations%2520and%2520extremes_Yin-Ting_Liao.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0Rfu-3yJMfIkZsYnhLX5j5" target="_blank">Sharp large deviations for random projections of high-dimensional measures</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Partha Pratim</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ghosh (Delhi):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F0xpu2ldw8akvkw2%2FPartha%2520Pratim%2520Ghosh%2520-%2520Limit%2520theorems%252C%2520large%2520deviations%2520and%2520extremes%2520_Partha%2520Pratim_Ghosh.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw381IdNeqaFM-mpFrV6-96Y" target="_blank">Large Deviations for the Right-most Position of a Last Progeny Modified Branching Random Walk</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Alexander</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sakhanenko (Novosibirsk):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fy8epnewgnq6hmdb%2FAlexander%2520Sakhanenko%2520-%2520Limit%2520theorems%252C%2520large%2520deviations%2520and%2520extremes_Alexander_Sakhanenko.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3Y3m-_6JGNbucawx4g-gEZ" target="_blank">First-passage times for random walks in the triangular array setting</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Yvik</span> Swan (<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Bruxelles</span>): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F5z9e8md776fz2es%2F_Yvik%2520Swan%2520-%2520Limit%2520theorems%252C%2520large%2520deviations%2520and%2520extremes_Yvik_Swan.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0iQy33KAlHR609sIeBmzV_" target="_blank">Stein discrepancies between univariate distributions</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zbigniew Stanisław Szewczak (Toruń</span>): <span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F9c3bmpsw0mizpu9%2FZbigniew%2520S.%2520Szewczak%2520-%2520Limit%2520theorems%252C%2520large%2520deviations%2520and%2520extremes_Zbigniew_S._Szewczak.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2VfrtpiguJRpo-lIhNboR-" target="_blank">A</a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F9c3bmpsw0mizpu9%2FZbigniew%2520S.%2520Szewczak%2520-%2520Limit%2520theorems%252C%2520large%2520deviations%2520and%2520extremes_Zbigniew_S._Szewczak.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2VfrtpiguJRpo-lIhNboR-" target="_blank">. de Moivre theorem revisited</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_44" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_47" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.wpchx243m0s" class="GV3q8e aP9Z7e"></div><h3 id="h.wpchx243m0s_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.wpchx243m0s_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.wpchx243m0s" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.wpchx243m0s_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mathematical finance</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nazmul</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ahsan (Montreal):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fm8jppe3gmxn85ke%2FNazmul%2520Ahsan%2520-%2520Mathematical%2520finance_Nazmul_Ahsan.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3jbMYOVOX5pswYrGSf756C" target="_blank">Simple Efficient Estimators for Multivariate Stochastic Volatility Models</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Tanut</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Treetanthiploet (Oxford):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fy7dee3gtkau6edf%2FTanut%2520Treetanthiploet%2520-%2520Mathematical%2520finance_Tanut_Treetanthiploet.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2vAr1zTumBfCbgZSUmykiV" target="_blank">Gittins' Theorem under uncertainty aversion</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_68" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_71" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.u7vz81q7v4yf" class="GV3q8e aP9Z7e"></div><h3 id="h.u7vz81q7v4yf_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.u7vz81q7v4yf_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.u7vz81q7v4yf" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.u7vz81q7v4yf_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Network analysis and causal modeling</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Johannes</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Buck (Munich):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fhqg7fp6iyzyc4zv%2FJohannes%2520Buck%2520-%2520Network%2520Analysis%2520and%2520Causal%2520Modeling_Johannes_Buck.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0S86_5isyHkt_Q-WPlgFgv" target="_blank">Recursive max-linear models with propagating noise</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lihua</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lei (Sta</span>nford): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F3t39849avpaa5qx%2FLihua%2520Lei%2520-%2520Network%2520Analysis%2520And%2520Causal%2520Modeling_Lihua_Lei.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0JBT070b9WSvQRz8Z3Iyeb" target="_blank">Conformal Inference of Counterfactuals and Individual Treatment Effects</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_76" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_79" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.514qj68c3cnz" class="GV3q8e aP9Z7e"></div><h3 id="h.514qj68c3cnz_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.514qj68c3cnz_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.514qj68c3cnz" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.514qj68c3cnz_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nonparametric Statistics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Serifat</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Folorunso (Ibadan):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fotbzwakre0koyif%2F_Serifat%2520Folorunso%2520-%2520%25E2%2580%259CNon-Parametric_Serifat_Folorunso.pdf%25E2%2580%259D..pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1DjTivUe1tJJfQ1gqe6yFL" target="_blank">Bayesian Semi-Parametric Modeling of Infertility in Nigeria</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Felix</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Gnettner (Magdeburg):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fs7qxff88vllogn2%2FFelix%2520Gnettner%2520-%2520Nonparametric%2520Statistics_Felix_Gnettner.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0JFCXtz3eI7kkVySOyE0Fl" target="_blank">Depth-based two sample testing</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Usama</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sattar (Islamabad):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fmyf0q37llp61kjd%2F_Usama%2520Sattar%2520-%2520Usama_Sattar.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0N6fPmo275ts97Gu4T0m1b" target="_blank">Performance of Non-Parametric Regression estimators in presence of skewed distribution</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Andrej</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Srakar (Ljubljana):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Ffwouf46d6jahsdu%2FAndrej%2520Srakar%2520-%2520Nonparametric%2520Statistics_Andrej_Srakar.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3K5cgjWGS1jVeMWzEaEjcZ" target="_blank">Wavelet regressions in symplex spaces</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_36" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_39" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.76zaugrv1a5y" class="GV3q8e aP9Z7e"></div><h3 id="h.76zaugrv1a5y_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.76zaugrv1a5y_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.76zaugrv1a5y" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.76zaugrv1a5y_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Probabilistic models in biology</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Alejandra</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Christen (</span>Valparaiso): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F3he11v3gdpsic59%2FAlejandra%2520Christen%2520-%2520Probabilistic%2520models%2520in%2520biology_Alejandra_Christen.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1bJbIUyrIxGM-BSZvNe0mh" target="_blank">Asymptotic behavior of a stochastic epidemic model with a bilinear incidence rate</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;">Paulo Tadeu de Oliveira (<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">São Carlos</span>): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Figer3i3dopww3u5%2FPAULO%2520DE%2520OLIVEIRA%2520-%2520Paulo_Oliveira_Probabilistic_Model_in_Biology.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3qR3Tecqaee9eS747O7eHZ" target="_blank">Importance of social distance in controlling the COVID-19 epidemic in Brazil</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Hayato</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Takahashi</span>: <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzjgoj2577aep9nw%2FHayato%2520Takahashi%2520-%2520Probabilisticmodelsinbiology_Hayato_Takahashi.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw37DXXbnCzNDTWU46ByrFDL" target="_blank">Computation of the exact distributions of the words</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nantawat</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Udomchatpitak (</span>Bangkok<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fcg6qlmv3meo7ve2%2FNantawat%2520Udomchatpitak%2520-%2520Probabilistic%2520models%2520in%2520biology_Nantawat_Udomchatpitak.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw39wCktFqrXcD3Scd6y9kOt" target="_blank">The Effect of Recombination on the Speed of Evolution</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_40" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_43" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.52f73ybp4dez" class="GV3q8e aP9Z7e"></div><h3 id="h.52f73ybp4dez_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.52f73ybp4dez_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.52f73ybp4dez" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.52f73ybp4dez_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Probabilistic models in physics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Watthanan</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Jatuviriyapornchai (Bangkok):</span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fq0m3tzloflr16rd%2FMim%2520Jatuviriyapornchai%2520-%2520Probabilistic%2520models%2520in%2520physics_Watthanan_Jatuviriyapornchai.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3qQDCyhaDgelV6n1TSi97L" target="_blank"> </a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fq0m3tzloflr16rd%2FMim%2520Jatuviriyapornchai%2520-%2520Probabilistic%2520models%2520in%2520physics_Watthanan_Jatuviriyapornchai.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3qQDCyhaDgelV6n1TSi97L" target="_blank">Inclusion Process: its structure of the condensed phase</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Naoki</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kubota (Tokio):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F8a2tpr73d7yjhs9%2FNaoki%2520KUBOTA%2520-%2520Probabilistic%2520models%2520in%2520physics_Naoki_Kubota.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3sPQ2wwHQlLjywcARmH79M" target="_blank">Continuity for the asymptotic shape in the frog model with random initial configurations</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">George</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Liddle</span> (Lancaster): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fsvz7pbrr3o9b015%2FGeorge%2520Liddle%2520-%2520Probabilistic%2520models%2520in%2520physics_George_Liddle.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2mUIJQwpjGcK1AHlFLkrcy" target="_blank">Scaling Limits of a Planar Random Growth Process</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Shangjie</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Yang</span> (Rio): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fwjg6jjbbj3jqurj%2FShangjie%2520Yang%2520-%2520Probabilistic%2520models%2520in%2520physics-Shangjie-Yang.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1MnZpIeRZuZW-r3veqkVoS" target="_blank">Cutoff for polymer pinning dynamics in the repulsive phase</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_20" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_23" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.og2rpbcpxru6" class="GV3q8e aP9Z7e"></div><h3 id="h.og2rpbcpxru6_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.og2rpbcpxru6_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.og2rpbcpxru6" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.og2rpbcpxru6_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Random discrete structures</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">He</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Guo (Atlanta</span>): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fhj6x5phh6ix281z%2FHe%2520%2520Guo%2520-%2520Random%2520discrete%2520structures_He_Guo.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1BeB7AZbTBClhCtJaNjHmQ" target="_blank">Packing Nearly Optimal Ramsey R(3,t) Graphs</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Tejas</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Iyer (Birmingham):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fnqyyr1l90ktmwfy%2FTejas%2520Iyer%2520-%25202020-08-16%252009.53.52%2520-%2520Random%2520Discrete%2520Structures_Tejas_Iyer.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1UWRhKY0xUkA-BGxL-shgt" target="_blank">Condensation in preferential attachment models with neighbourhood influence</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Alexander</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sakhanenko (Novosibirsk</span>): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzm6zxwps7annjd4%2FAlexander%2520Sakhanenko%2520-%2520Random%2520discrete%2520structures_Alexander_Sakhanenko.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1TyHfDZtNVTum2a_eCkvar" target="_blank">Discrete Conditioned Random Walks with Random Local Constraints</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Anirudh</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sridhar (Princeton):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F5qdmy7zh6w5cpwj%2FAni%2520Sridhar%2520-%2520Random%2520Discrete%2520Structures_Anirudh_Sridhar.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1RaUYvSWIhn1CkO8OikViV" target="_blank">Correlated Randomly Growing Graphs</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_28" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_31" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.ps2gsdwh4jxt" class="GV3q8e aP9Z7e"></div><h3 id="h.ps2gsdwh4jxt_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.ps2gsdwh4jxt_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.ps2gsdwh4jxt" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.ps2gsdwh4jxt_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Random matrices</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Thibaut</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lemoine (Paris):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fs0n6vzipuxq1wqg%2FThibaut%2520Lemoine%2520-%2520Random%2520Matrices_Thibaut_Lemoine.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw18FTL7TfDeJArrO5U3RUqM" target="_blank">The master field on compact surfaces</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_100" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_103" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.dxud54nldyss" class="GV3q8e aP9Z7e"></div><h3 id="h.dxud54nldyss_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.dxud54nldyss_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.dxud54nldyss" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.dxud54nldyss_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Statistical methods in Machine Learning</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;">Mina Aminghafari (<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Teheran)</span><span style="font-family: Lato; font-size: 11pt; font-weight: normal; text-decoration: normal; vertical-align: baseline;">: </span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fefci8bsjysix5iz%2FMina%2520Aminghafari%2520-%2520Statistics%2520in%2520Machine%2520Learning_Mina_Aminghafari.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw39h_rGkSsZ_r8KVn03JBNc" target="_blank">A Strati</a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fefci8bsjysix5iz%2FMina%2520Aminghafari%2520-%2520Statistics%2520in%2520Machine%2520Learning_Mina_Aminghafari.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw39h_rGkSsZ_r8KVn03JBNc" target="_blank">fied Sampling Based on Clustering Algorithms for Big Data</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chirag</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Gupta (Pittsburgh):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzbn74385xwxgv1u%2FChirag%2520Gupta%2520-%25202020-08-10%252018.10.58%2520-%2520statistical_methods_in_machine_learning_chirag_gupta.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0XMIP-tzBYC_N6IKGVaeVS" target="_blank">Nested conformal prediction and quantile out-of-bag ensemble methods</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zeyang</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Jia (Hefei):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzzc1j386fwvdccl%2FZeyang%2520Jia%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_Zeyang_Jia.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3K5QAQ9rxMEo7hHptSJpjZ" target="_blank">Weighting Methods to Maximize the Power of Hypothesis Tests on Bandit Data</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ismael</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lemhadri (Stanford):</span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzime9cb9wbpl0yx%2FIsmael%2520Lemhadri%2520-%2520Statistical_methods_in_Machine_Learning_Ismael_Lemhadri.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0UmdtimCH0mq-N63e14vEs" target="_blank"> </a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fzime9cb9wbpl0yx%2FIsmael%2520Lemhadri%2520-%2520Statistical_methods_in_Machine_Learning_Ismael_Lemhadri.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0UmdtimCH0mq-N63e14vEs" target="_blank">LassoNet: A Neural Network with Feature Sparsity</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Takeru</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Matsuda (Riken):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fonh6juzkjydrhxs%2FTakeru%2520Matsuda%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_Takeru_Matsuda.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2hSbLwuar8-5OWB-bm8efw" target="_blank">Estimation of non-normalized mixture models and clustering using deep representation</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Adel</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mohammadpour (Teheran):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fq9qudvc2oaxq8tn%2FAdel%2520Mohammadpour%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_Adel_Mohammadpour.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw12i1u2AbskMPUPzQIim0cC" target="_blank">Model Selection versus Method Selection</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Victor</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">de la Pena (New York):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F4xredxxt5k6ov1q%2Fvictor%2520de%2520la%2520Pena%2520-%2520machine-learning-de-la-Pena.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3kFGU7e2yd3qi5uGfiYCed" target="_blank">From Decoupling and Self-Normalization to Machine Learning</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Aleksandr Podkopaev (Pittsburgh):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fwc7q0d126lekapi%2FAleksandr%2520Podkopaev%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_Aleksandr_Podkopaev.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0CYImZIdtmJlQI2h5jMGFE" target="_blank">Distribution-free binary classification: prediction sets, confidence intervals and calibration</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kévin Allan</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sales Rodrigues (São Paulo):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fe5cis4a88tfw8o3%2FK%25C3%25A9vin%2520Allan%2520Sales%2520Rodrigues%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_K%25C3%25A9vin%2520Allan_Sales%2520Rodrigues.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3DCipOtZ1sw-SU0A1j5bwN" target="_blank">Inference and Diagnostics in LAD models</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Samuel Ady Sanjaya </span>(Bandung) & <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Suryo Adi Rakhmawan (</span>Jakarta<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fq1b4gdy3sjll723%2FSamuel%2520Ady%2520Sanjaya%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_Samuel_Sanjaya_and_Suryo_Rakhmawan.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2Q6H7HlsSuz2dT9gEcJVMi" target="_blank">Against Hoax: Spam Detection in Social Media</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Kris</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sankaran (Madison):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fdyn8eobktwv5pq5%2FKris%2520Sankaran%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning%2520_Kris_Sankaran.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1vUtEGwu_wBbJQQz2BHwhx" target="_blank">Measuring the Stability of Learned Features</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Albert</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Senen (Eindhoven):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fmh57pf9sgbzfj6b%2FAlbert%2520%2520Senen%2520-%2520Statistical%2520methods%2520in%2520Machine%2520Learning_Albert_Senen.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0qzaOeh1_u11XE1CshTQuO" target="_blank">Almost Sure Convergence of Dropout Algorithms for Neural Networks</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Feicheng</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Wang (Boston):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fqsben3cnwykib79%2FF%2520ei%2520cheng%2520Wang%2520-%2520statistical%2520methods%2520in%2520machine%2520learning_Feicheng_Wang.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2QX3T7pLqOKs08JvQ2Rr0t" target="_blank">Exact Asymptotics of Adaptive Control for the Linear Quadratic Regulator</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Min</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Xu (Shanghai):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F2etlqr8rsvcl325%2FMin%2520Xu%2520-%2520Statistical%2520methods%2520in%2520machine%2520learning_Min_Xu.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0gXlv_FytPO9DLKlH8io4H" target="_blank">Deeping learning based bias correction for numerical chemical transport models</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_8" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_11" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.su8kpgd8owkw" class="GV3q8e aP9Z7e"></div><h3 id="h.su8kpgd8owkw_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.su8kpgd8owkw_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.su8kpgd8owkw" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.su8kpgd8owkw_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Stochastic analysis</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Francesca</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Anceschi (Modena):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fg08epro7acf9use%2FFrancesca%2520Anceschi%2520-%2520Stochastic%2520analysis_francesca_anceschi.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2bLpMLMOeq6fw-AmIgVjqq" target="_blank">Existence of a Fundamental Solution of Partial Differential Equations associated to Asian Options</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Adrián</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Hinojosa Calleja (Barcelona):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fw82n8x5nft0643a%2FAdri%25C3%25A1n%2520Hinojosa-Calleja%2520-%2520Stochastic%2520analysis_Adri%25C3%25A1n_Hinojosa%2520Calleja.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0zeSfdcE__p276IFHjTS7i" target="_blank">Anisotropic Gaussian random fields: Criteria for hitting probabilities and applications</a></span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fw82n8x5nft0643a%2FAdri%25C3%25A1n%2520Hinojosa-Calleja%2520-%2520Stochastic%2520analysis_Adri%25C3%25A1n_Hinojosa%2520Calleja.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0zeSfdcE__p276IFHjTS7i" target="_blank"> </a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Oxana</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Manita (Einhoven):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fz5pmfhkl9tvuvpw%2FOxana%2520Manita%2520-%2520Stochastic%2520analysis_Oxana_Manita.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2lVieyINdjhFaVGewoGXHk" target="_blank">On exponential convergence of 1D Markov diffusions to heavy-tailed invariant density</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Vadim</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Platonov (</span>Edinburgh):<span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fb7rvtr9vlpjspa0%2FVadim%2520Platonov%2520-%2520Stochastic_analysis_Vadim_Platonov.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3CmBtw5xbtNUYpWetOce_K" target="_blank"> </a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fb7rvtr9vlpjspa0%2FVadim%2520Platonov%2520-%2520Stochastic_analysis_Vadim_Platonov.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3CmBtw5xbtNUYpWetOce_K" target="_blank">Generalised It\^o formula for expansion in measure</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Eya</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zougar (Mon</span>astir): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fq6a0omomr5kfwzq%2FEya%2520Zougar%2520-%2520Stochastic%2520analysis_Eya_ZOUGAR.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2V_mScYzhHvVWncTMneek5" target="_blank">Spatial quadratic variations for the solution to SPDE with elliptic divergence form</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_48" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_51" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.mnx555ew8dci" class="GV3q8e aP9Z7e"></div><h3 id="h.mnx555ew8dci_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.mnx555ew8dci_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.mnx555ew8dci" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.mnx555ew8dci_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Stochastic numerics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mariya</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mamajiwala (London):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fyxxcmrq47lfo4i4%2FMariya%2520Mamajiwala%2520-%2520StochasticNumerics_Mariya_Mamajiwala.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3OjfihLmrB_rLHfpyP5Doh" target="_blank">Stochastic dynamical systems developed on Riemannian manifolds</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_88" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_91" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.b26rlossqt3k" class="GV3q8e aP9Z7e"></div><h3 id="h.b26rlossqt3k_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.b26rlossqt3k_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.b26rlossqt3k" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.b26rlossqt3k_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Statistics of stochastic processes</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; padding-left: 0; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Imma Valentina</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Curato (Ulm):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F49z5lbyld2apb0n%2FImma%2520Curato%2520-%2520Statistics%2520of%2520stochastic%2520processes_Imma_Curato.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1qfcFBtGcDcJHEKs0P-75d" target="_blank">Inheritance of strong mixing and weak dependence under renewal sampling</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; padding-left: 0; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lukas</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Trottner (</span>Mannheim): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fe9gv3un2ootxjo6%2F_Lukas%2520Trottner%2520-%2520Statistics%2520of%2520Stochastic%2520Processes_Lukas_Trottner.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2CEjZ8ktOII8R8nDujkyXl" target="_blank">A Markovian perspective on overshoots of Lévy processes with statistical applications</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; padding-left: 0; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">George</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Wynne (London):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F2oa2ahq5cu6pt2a%2FGeorge%2520Wynne%2520-%2520Statistics%2520of%2520stochastic%2520processes_George_Wynne.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0nJYZMzY9DqedyxS7hXSbs" target="_blank">A Kernel Two-Sample Test </a></span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F2oa2ahq5cu6pt2a%2FGeorge%2520Wynne%2520-%2520Statistics%2520of%2520stochastic%2520processes_George_Wynne.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0nJYZMzY9DqedyxS7hXSbs" target="_blank">f</a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F2oa2ahq5cu6pt2a%2FGeorge%2520Wynne%2520-%2520Statistics%2520of%2520stochastic%2520processes_George_Wynne.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0nJYZMzY9DqedyxS7hXSbs" target="_blank">or Functional Data</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_0" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_3" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.suaxc1gvgayu" class="GV3q8e aP9Z7e"></div><h3 id="h.suaxc1gvgayu_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.suaxc1gvgayu_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.suaxc1gvgayu" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.suaxc1gvgayu_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div>Stochastic Processes</div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Hong-Bin</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chen (New York):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fsudosxvv488pig1%2FHong-Bin%2520Chen%2520-%2520Stochastic%2520Processes_Hong-Bin_Chen.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2O1yEo9uuVOsuI_mYc84Bq" target="_blank">Atypical exit events near a repelling equilibrium</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Fraser</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Daly (E</span>dinburgh): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F4e1l8bklen7orri%2FFraser%2520Daly%2520-%2520Stochastic%2520Processes_Fraser_Daly.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1Dvb76moIXTZGQYB0I4ABG" target="_blank">Compound geometric approximation for Markov chain hitting times</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nathaniel</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Eldredge (Greeley):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fmpc539fif1mgepj%2FNate%2520Eldredge%2520-%2520Stochastic%2520Processes_Nathaniel_Eldredge.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw2GXFwZRIzIEuttdI6s0Rwn" target="_blank">Transportation duality and functional inequalities for Markov kernels</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ankan</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ganguly (Providence):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fo7wm5ahyv6auyot%2FAnkan%2520Ganguly%2520-%2520Ankan_Poster.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3Aai7BpxinCeqqJxGmsKUJ" target="_blank">Beyond Mean Field Limits: Local Approximations of Interacting Particle Systems on Trees</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Iqra Altaf</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Gillani (Delhi):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fx5veijn78zeuz8z%2FIqra%2520Altaf%2520Gillani%2520-%2520Stochastic%2520Processes_Iqra%2520Altaf_Gillani.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3vsVBTmzx1AtTl4kbWw5Ov" target="_blank">A Stochastic Process on a Network with Connections to Laplacian Systems of Equations</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chenlin</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">G</span>u<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> (</span>Lyon<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">):</span><span class=" aw5Odc" style="text-decoration: underline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fiww74qs4z2ozbxm%2FChenlin%2520Gu%2520-%2520Stochastic%2520Processes_Chenlin_Gu.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3M9kLN6ZQKCS5uDd89U7lX" target="_blank"> </a></span><span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fiww74qs4z2ozbxm%2FChenlin%2520Gu%2520-%2520Stochastic%2520Processes_Chenlin_Gu.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3M9kLN6ZQKCS5uDd89U7lX" target="_blank">Decay of semigroup for an infinite interacting particle system on continuum configuration spaces</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">C</span>hong Liu (Oxford): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fa7qz2v0iliuo8yx%2FCHONG%2520LIU%2520-%2520Stochastic%2520Processes_Chong_Liu.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw35eosPW239NXVXtc4VcwK0" target="_blank">Adapted topologies and higher rank signatures</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Chitaranjan</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Mahapatra (San Francisco):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fk3792gmf1gb7xgz%2FChitaranjan%2520Mahapatra%2520-%2520Stochastic%2520Processes_Chitaranjan_Mahapatra.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw0u8AT4rObrdjDLa_kkyrOX" target="_blank">Quantitative studies of autonomic nervous system activities in urinary bladder smooth muscle cells towards bladder overactivities</a></span></p></li></ul></div></div></div></div></div></div></div></div></div></section><section id="h.6e81a49ca9870989_84" class="yaqOZd qeLZfd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.6e81a49ca9870989_87" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.otxgcoh1fml9" class="GV3q8e aP9Z7e"></div><h3 id="h.otxgcoh1fml9_l" dir="ltr" class="CDt4Ke zfr3Q OmQG5e" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;" tabindex="-1"><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.otxgcoh1fml9_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.otxgcoh1fml9" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.otxgcoh1fml9_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class=" OGiC0d" style="font-family: Lato; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Time series analysis and econometrics</span></div></h3><ul class="n8H08c UVNKR" style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Varun</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Agiwal </span>(Ajmer): <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fjaggq780ctme5i8%2FVarun%2520Agiwal%2520-%2520Time%2520series%2520and%2520econometrics_varun_agiwal.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw1-7Gi99BTF1EVq1F5CBGbO" target="_blank">Study the Trend Pattern in COVID-19 using Spline-Based Time Series Model: A Bayesian Paradigm</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nazmul</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ahsan (Montreal):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fspifn60tj42bws9%2FNazmul%2520Ahsan%2520-%2520Time%2520series%2520analysis%2520and%2520econometrics_Nazmul_Ahsan.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3Tptz11IZJ8zrUoz0m1LHL" target="_blank">Volatility forecasting and option pricing with higher-order stochastic volatility models</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Olayemi </span>J<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">oshua</span> <span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ibidoja (Gusau):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fb41g074a90vexg4%2FOlayemi%2520Ibidoja%2520-%2520Time%2520Series_Olayemi_Ibidoja.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw06od1Y1AuSBdYGngy6lmQe" target="_blank">Forecasting Rice Production in Nigeria using Autoregressive Integrated Models</a></span></p></li><li dir="ltr" class="TYR86d zfr3Q" style="margin-left: 15pt;"><p dir="ltr" class="CDt4Ke zfr3Q" style="margin-left: 0; margin-right: 0; padding-left: 0; text-align: left; text-indent: 0;"><span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sayar Karmakar </span>(<span style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Gainesville):</span> <span class=" aw5Odc" style="font-family: Lato; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F9p8v95tf1dup79g%2FSayar%2520Karmakar%2520-%2520Time%2520series%2520analysis%2520and%2520econometrics_Sayar_Karmakar.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AOvVaw3GZRelTN8xtcEFic3lgdF7" target="_blank">Optimal Gaussian Approximation and Applications</a></span></p></li><li 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