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Statistics Oct 2024
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class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2024-10?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2024-10?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2024-10?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2410.00078" title="Abstract" id="2410.00078"> arXiv:2410.00078 </a> [<a href="/pdf/2410.00078" title="Download PDF" id="pdf-2410.00078" aria-labelledby="pdf-2410.00078">pdf</a>, <a href="https://arxiv.org/html/2410.00078v1" title="View HTML" id="html-2410.00078" aria-labelledby="html-2410.00078" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00078" title="Other formats" id="oth-2410.00078" aria-labelledby="oth-2410.00078">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Shuffled Linear Regression via Spectral Matching </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Liu,+H">Hang Liu</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Scaglione,+A">Anna Scaglione</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This work has been submitted to the IEEE for possible publication </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Information Theory (cs.IT); Machine Learning (cs.LG); Signal Processing (eess.SP); Spectral Theory (math.SP); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/2410.00116" title="Abstract" id="2410.00116"> arXiv:2410.00116 </a> [<a href="/pdf/2410.00116" title="Download PDF" id="pdf-2410.00116" aria-labelledby="pdf-2410.00116">pdf</a>, <a href="https://arxiv.org/html/2410.00116v3" title="View HTML" id="html-2410.00116" aria-labelledby="html-2410.00116" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00116" title="Other formats" id="oth-2410.00116" aria-labelledby="oth-2410.00116">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Calibration for Prediction in a Multi-Output Transposition Context </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Sire,+C">Charlie Sire</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Garnier,+J">Josselin Garnier</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Durantin,+C">C茅dric Durantin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kerleguer,+B">Baptiste Kerleguer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Defaux,+G">Gilles Defaux</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Perrin,+G">Guillaume Perrin</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submitted to International Journal for Uncertainty Quantification </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2410.00125" title="Abstract" id="2410.00125"> arXiv:2410.00125 </a> [<a href="/pdf/2410.00125" title="Download PDF" id="pdf-2410.00125" aria-labelledby="pdf-2410.00125">pdf</a>, <a href="https://arxiv.org/html/2410.00125v2" title="View HTML" id="html-2410.00125" aria-labelledby="html-2410.00125" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00125" title="Other formats" id="oth-2410.00125" aria-labelledby="oth-2410.00125">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Relative Cumulative Residual Information Measure </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Andrews,+M">Mary Andrews</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=S,+S">Smitha S</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kattumannil,+S+K">Sudheesh K. Kattumannil</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2410.00142" title="Abstract" id="2410.00142"> arXiv:2410.00142 </a> [<a href="/pdf/2410.00142" title="Download PDF" id="pdf-2410.00142" aria-labelledby="pdf-2410.00142">pdf</a>, <a href="https://arxiv.org/html/2410.00142v2" title="View HTML" id="html-2410.00142" aria-labelledby="html-2410.00142" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00142" title="Other formats" id="oth-2410.00142" aria-labelledby="oth-2410.00142">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the posterior property of the Rician distribution </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Quispe,+J+E+A">Jesus Enrique Achire Quispe</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ramos,+E">Eduardo Ramos</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ramos,+P+L">Pedro Luiz Ramos</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2410.00183" title="Abstract" id="2410.00183"> arXiv:2410.00183 </a> [<a href="/pdf/2410.00183" title="Download PDF" id="pdf-2410.00183" aria-labelledby="pdf-2410.00183">pdf</a>, <a href="https://arxiv.org/html/2410.00183v1" title="View HTML" id="html-2410.00183" aria-labelledby="html-2410.00183" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00183" title="Other formats" id="oth-2410.00183" aria-labelledby="oth-2410.00183">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generalised mixed effects models for changepoint analysis of biomedical time series data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fiecas,+M+B">Mark B. Fiecas</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Cullen,+K+R">Kathryn R. Cullen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Killick,+R">Rebecca Killick</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2410.00219" title="Abstract" id="2410.00219"> arXiv:2410.00219 </a> [<a href="/pdf/2410.00219" title="Download PDF" id="pdf-2410.00219" aria-labelledby="pdf-2410.00219">pdf</a>, <a href="https://arxiv.org/html/2410.00219v2" title="View HTML" id="html-2410.00219" aria-labelledby="html-2410.00219" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00219" title="Other formats" id="oth-2410.00219" aria-labelledby="oth-2410.00219">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improved performance guarantees for Tukey's median </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Minsker,+S">Stanislav Minsker</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Shen,+Y">Yinan Shen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Strengthened results related to the size of the depth regions and added lower bounds for their diameter </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/2410.00229" title="Abstract" id="2410.00229"> arXiv:2410.00229 </a> [<a href="/pdf/2410.00229" title="Download PDF" id="pdf-2410.00229" aria-labelledby="pdf-2410.00229">pdf</a>, <a href="https://arxiv.org/html/2410.00229v1" title="View HTML" id="html-2410.00229" aria-labelledby="html-2410.00229" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00229" title="Other formats" id="oth-2410.00229" aria-labelledby="oth-2410.00229">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Q">Qin Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Oprea,+M">Maria Oprea</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+L">Li Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+Y">Yunan Yang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Optimization and Control (math.OC); Probability (math.PR) </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2410.00259" title="Abstract" id="2410.00259"> arXiv:2410.00259 </a> [<a href="/pdf/2410.00259" title="Download PDF" id="pdf-2410.00259" aria-labelledby="pdf-2410.00259">pdf</a>, <a href="https://arxiv.org/html/2410.00259v1" title="View HTML" id="html-2410.00259" aria-labelledby="html-2410.00259" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00259" title="Other formats" id="oth-2410.00259" aria-labelledby="oth-2410.00259">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+J">Jiangshan Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pradhan,+V">Vivek Pradhan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+Y">Yuxi Zhao</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2410.00300" title="Abstract" id="2410.00300"> arXiv:2410.00300 </a> [<a href="/pdf/2410.00300" title="Download PDF" id="pdf-2410.00300" aria-labelledby="pdf-2410.00300">pdf</a>, <a href="https://arxiv.org/html/2410.00300v1" title="View HTML" id="html-2410.00300" aria-labelledby="html-2410.00300" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00300" title="Other formats" id="oth-2410.00300" aria-labelledby="oth-2410.00300">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Visualization for departures from symmetry with the power-divergence-type measure in two-way contingency tables </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Urasaki,+W">Wataru Urasaki</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nakagawa,+T">Tomoyuki Nakagawa</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tsuchida,+J">Jun Tsuchida</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tahata,+K">Kouji Tahata</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2410.00338" title="Abstract" id="2410.00338"> arXiv:2410.00338 </a> [<a href="/pdf/2410.00338" title="Download PDF" id="pdf-2410.00338" aria-labelledby="pdf-2410.00338">pdf</a>, <a href="https://arxiv.org/html/2410.00338v1" title="View HTML" id="html-2410.00338" aria-labelledby="html-2410.00338" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00338" title="Other formats" id="oth-2410.00338" aria-labelledby="oth-2410.00338">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The generalized Nelson--Aalen estimator by inverse probability of treatment weighting </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Deng,+Y">Yuhao Deng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+R">Rui Wang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2410.00370" title="Abstract" id="2410.00370"> arXiv:2410.00370 </a> [<a href="/pdf/2410.00370" title="Download PDF" id="pdf-2410.00370" aria-labelledby="pdf-2410.00370">pdf</a>, <a href="https://arxiv.org/html/2410.00370v1" title="View HTML" id="html-2410.00370" aria-labelledby="html-2410.00370" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00370" title="Other formats" id="oth-2410.00370" aria-labelledby="oth-2410.00370">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Covariate Adjusted Functional Mixed Membership Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Marco,+N">Nicholas Marco</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=%C5%9Eent%C3%BCrk,+D">Damla 艦ent眉rk</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jeste,+S">Shafali Jeste</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=DiStefano,+C">Charlotte DiStefano</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dickinson,+A">Abigail Dickinson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Telesca,+D">Donatello Telesca</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 71 pages including supplement </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2410.00397" title="Abstract" id="2410.00397"> arXiv:2410.00397 </a> [<a href="/pdf/2410.00397" title="Download PDF" id="pdf-2410.00397" aria-labelledby="pdf-2410.00397">pdf</a>, <a href="https://arxiv.org/html/2410.00397v1" title="View HTML" id="html-2410.00397" aria-labelledby="html-2410.00397" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00397" title="Other formats" id="oth-2410.00397" aria-labelledby="oth-2410.00397">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Generalized Mean Approach for Distributed-PCA </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Jou,+Z">Zhi-Yu Jou</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+S">Su-Yun Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hung,+H">Hung Hung</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Eguchi,+S">Shinto Eguchi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages, 1 table, 1 figure </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2410.00415" title="Abstract" id="2410.00415"> arXiv:2410.00415 </a> [<a href="/pdf/2410.00415" title="Download PDF" id="pdf-2410.00415" aria-labelledby="pdf-2410.00415">pdf</a>, <a href="https://arxiv.org/html/2410.00415v2" title="View HTML" id="html-2410.00415" aria-labelledby="html-2410.00415" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00415" title="Other formats" id="oth-2410.00415" aria-labelledby="oth-2410.00415">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Singularities in bivariate normal mixtures </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Kabata,+Y">Yutaro Kabata</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Matsumoto,+H">Hirotaka Matsumoto</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Uchida,+S">Seiichi Uchida</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ueki,+M">Masao Ueki</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 12 page, 5 figures. We revised Section 4 to correct an error in the description; note that the main results remain unchanged </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Geometric Topology (math.GT) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2410.00429" title="Abstract" id="2410.00429"> arXiv:2410.00429 </a> [<a href="/pdf/2410.00429" title="Download PDF" id="pdf-2410.00429" aria-labelledby="pdf-2410.00429">pdf</a>, <a href="https://arxiv.org/html/2410.00429v1" title="View HTML" id="html-2410.00429" aria-labelledby="html-2410.00429" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00429" title="Other formats" id="oth-2410.00429" aria-labelledby="oth-2410.00429">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimal Designs for Regression on Lie Groups </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Chakraborty,+S">Somnath Chakraborty</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Dette,+H">Holger Dette</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Kroll,+M">Martin Kroll</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2410.00496" title="Abstract" id="2410.00496"> arXiv:2410.00496 </a> [<a href="/pdf/2410.00496" title="Download PDF" id="pdf-2410.00496" aria-labelledby="pdf-2410.00496">pdf</a>, <a href="https://arxiv.org/html/2410.00496v1" title="View HTML" id="html-2410.00496" aria-labelledby="html-2410.00496" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00496" title="Other formats" id="oth-2410.00496" aria-labelledby="oth-2410.00496">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Grand Challenges in Bayesian Computation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bhattacharya,+A">Anirban Bhattacharya</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Linero,+A">Antonio Linero</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Oates,+C+J">Chris. J. Oates</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2410.00546" title="Abstract" id="2410.00546"> arXiv:2410.00546 </a> [<a href="/pdf/2410.00546" title="Download PDF" id="pdf-2410.00546" aria-labelledby="pdf-2410.00546">pdf</a>, <a href="https://arxiv.org/html/2410.00546v1" title="View HTML" id="html-2410.00546" aria-labelledby="html-2410.00546" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00546" title="Other formats" id="oth-2410.00546" aria-labelledby="oth-2410.00546">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Some notes on the $k$-means clustering for missing data </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Terada,+Y">Yoshikazu Terada</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Guan,+X">Xin Guan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 4 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2410.00566" title="Abstract" id="2410.00566"> arXiv:2410.00566 </a> [<a href="/pdf/2410.00566" title="Download PDF" id="pdf-2410.00566" aria-labelledby="pdf-2410.00566">pdf</a>, <a href="https://arxiv.org/html/2410.00566v2" title="View HTML" id="html-2410.00566" aria-labelledby="html-2410.00566" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00566" title="Other formats" id="oth-2410.00566" aria-labelledby="oth-2410.00566">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Research frontiers in ambit stochastics: In memory of Ole E. Barndorff-Nielsen </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Benth,+F+E">Fred Espen Benth</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Veraart,+A+E+D">Almut E. D. Veraart</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Probability (math.PR); Statistics Theory (math.ST); Applications (stat.AP) </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2410.00574" title="Abstract" id="2410.00574"> arXiv:2410.00574 </a> [<a href="/pdf/2410.00574" title="Download PDF" id="pdf-2410.00574" aria-labelledby="pdf-2410.00574">pdf</a>, <a href="https://arxiv.org/html/2410.00574v1" title="View HTML" id="html-2410.00574" aria-labelledby="html-2410.00574" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00574" title="Other formats" id="oth-2410.00574" aria-labelledby="oth-2410.00574">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Asymmetric GARCH modelling without moment conditions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tao,+Y">Yuxin Tao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+D">Dong Li</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2410.00620" title="Abstract" id="2410.00620"> arXiv:2410.00620 </a> [<a href="/pdf/2410.00620" title="Download PDF" id="pdf-2410.00620" aria-labelledby="pdf-2410.00620">pdf</a>, <a href="https://arxiv.org/html/2410.00620v2" title="View HTML" id="html-2410.00620" aria-labelledby="html-2410.00620" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00620" title="Other formats" id="oth-2410.00620" aria-labelledby="oth-2410.00620">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Differentiable Interacting Multiple Model Particle Filtering </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Brady,+J">John-Joseph Brady</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Luo,+Y">Yuhui Luo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+W">Wenwu Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Elvira,+V">V铆ctor Elvira</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Y">Yunpeng Li</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2410.00627" title="Abstract" id="2410.00627"> arXiv:2410.00627 </a> [<a href="/pdf/2410.00627" title="Download PDF" id="pdf-2410.00627" aria-labelledby="pdf-2410.00627">pdf</a>, <a href="https://arxiv.org/html/2410.00627v1" title="View HTML" id="html-2410.00627" aria-labelledby="html-2410.00627" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00627" title="Other formats" id="oth-2410.00627" aria-labelledby="oth-2410.00627">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Parallel state estimation for systems with integrated measurements </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yaghoobi,+F">Fatemeh Yaghoobi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=S%C3%A4rkk%C3%A4,+S">Simo S盲rkk盲</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Distributed, Parallel, and Cluster Computing (cs.DC) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2410.00662" title="Abstract" id="2410.00662"> arXiv:2410.00662 </a> [<a href="/pdf/2410.00662" title="Download PDF" id="pdf-2410.00662" aria-labelledby="pdf-2410.00662">pdf</a>, <a href="https://arxiv.org/html/2410.00662v1" title="View HTML" id="html-2410.00662" aria-labelledby="html-2410.00662" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00662" title="Other formats" id="oth-2410.00662" aria-labelledby="oth-2410.00662">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bias in mixed models when analysing longitudinal data subject to irregular observation: when should we worry about it and how can recommended visit intervals help in specifying joint models when needed? </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Garrett,+R">Rose Garrett</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Feldman,+B">Brian Feldman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pullenayegum,+E">Eleanor Pullenayegum</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 43 pages, 4 tables, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2410.00677" title="Abstract" id="2410.00677"> arXiv:2410.00677 </a> [<a href="/pdf/2410.00677" title="Download PDF" id="pdf-2410.00677" aria-labelledby="pdf-2410.00677">pdf</a>, <a href="/format/2410.00677" title="Other formats" id="oth-2410.00677" aria-labelledby="oth-2410.00677">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparametric Diffusivity Estimation for the Stochastic Heat Equation from Noisy Observations </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Pasemann,+G">Gregor Pasemann</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Rei%C3%9F,+M">Markus Rei脽</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2410.00781" title="Abstract" id="2410.00781"> arXiv:2410.00781 </a> [<a href="/pdf/2410.00781" title="Download PDF" id="pdf-2410.00781" aria-labelledby="pdf-2410.00781">pdf</a>, <a href="https://arxiv.org/html/2410.00781v3" title="View HTML" id="html-2410.00781" aria-labelledby="html-2410.00781" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00781" title="Other formats" id="oth-2410.00781" aria-labelledby="oth-2410.00781">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling Neural Switching via Drift-Diffusion Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Marco,+N">Nicholas Marco</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Groh,+J+M">Jennifer M. Groh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tokdar,+S+T">Surya T. Tokdar</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2410.00845" title="Abstract" id="2410.00845"> arXiv:2410.00845 </a> [<a href="/pdf/2410.00845" title="Download PDF" id="pdf-2410.00845" aria-labelledby="pdf-2410.00845">pdf</a>, <a href="/format/2410.00845" title="Other formats" id="oth-2410.00845" aria-labelledby="oth-2410.00845">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Control Variate-based Stochastic Sampling from the Probability Simplex </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Barile,+F">Francesco Barile</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nemeth,+C">Christopher Nemeth</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2410.00848" title="Abstract" id="2410.00848"> arXiv:2410.00848 </a> [<a href="/pdf/2410.00848" title="Download PDF" id="pdf-2410.00848" aria-labelledby="pdf-2410.00848">pdf</a>, <a href="https://arxiv.org/html/2410.00848v1" title="View HTML" id="html-2410.00848" aria-labelledby="html-2410.00848" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00848" title="Other formats" id="oth-2410.00848" aria-labelledby="oth-2410.00848">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An EM Gradient Algorithm for Mixture Models with Components Derived from the Manly Transformation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Clark,+K+M">Katharine M. Clark</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=McNicholas,+P+D">Paul D. McNicholas</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2410.00865" title="Abstract" id="2410.00865"> arXiv:2410.00865 </a> [<a href="/pdf/2410.00865" title="Download PDF" id="pdf-2410.00865" aria-labelledby="pdf-2410.00865">pdf</a>, <a href="https://arxiv.org/html/2410.00865v1" title="View HTML" id="html-2410.00865" aria-labelledby="html-2410.00865" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00865" title="Other formats" id="oth-2410.00865" aria-labelledby="oth-2410.00865">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Raban,+D">Daniel Raban</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 40 pages, 4 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2410.00903" title="Abstract" id="2410.00903"> arXiv:2410.00903 </a> [<a href="/pdf/2410.00903" title="Download PDF" id="pdf-2410.00903" aria-labelledby="pdf-2410.00903">pdf</a>, <a href="https://arxiv.org/html/2410.00903v2" title="View HTML" id="html-2410.00903" aria-labelledby="html-2410.00903" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00903" title="Other formats" id="oth-2410.00903" aria-labelledby="oth-2410.00903">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Imai,+K">Kosuke Imai</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nakamura,+K">Kentaro Nakamura</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Computation and Language (cs.CL); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2410.00912" title="Abstract" id="2410.00912"> arXiv:2410.00912 </a> [<a href="/pdf/2410.00912" title="Download PDF" id="pdf-2410.00912" aria-labelledby="pdf-2410.00912">pdf</a>, <a href="https://arxiv.org/html/2410.00912v1" title="View HTML" id="html-2410.00912" aria-labelledby="html-2410.00912" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00912" title="Other formats" id="oth-2410.00912" aria-labelledby="oth-2410.00912">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Matabuena,+M">Marcos Matabuena</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ghosal,+R">Rahul Ghosal</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Aguilar,+J+E">Javier Enrique Aguilar</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wagner,+R">Robert Wagner</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Merino,+C+F">Carmen Fern谩ndez Merino</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Castro,+J+S">Juan S谩nchez Castro</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zipunnikov,+V">Vadim Zipunnikov</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Onnela,+J">Jukka-Pekka Onnela</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gude,+F">Francisco Gude</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2410.00923" title="Abstract" id="2410.00923"> arXiv:2410.00923 </a> [<a href="/pdf/2410.00923" title="Download PDF" id="pdf-2410.00923" aria-labelledby="pdf-2410.00923">pdf</a>, <a href="https://arxiv.org/html/2410.00923v1" title="View HTML" id="html-2410.00923" aria-labelledby="html-2410.00923" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00923" title="Other formats" id="oth-2410.00923" aria-labelledby="oth-2410.00923">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the topology and geometry of population-based SHM </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Worden,+K">Keith Worden</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dardeno,+T+A">Tina A. Dardeno</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hughes,+A+J">Aidan J. Hughes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tsialiamanis,+G">George Tsialiamanis</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Databases (cs.DB); Machine Learning (cs.LG); Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2410.00931" title="Abstract" id="2410.00931"> arXiv:2410.00931 </a> [<a href="/pdf/2410.00931" title="Download PDF" id="pdf-2410.00931" aria-labelledby="pdf-2410.00931">pdf</a>, <a href="https://arxiv.org/html/2410.00931v2" title="View HTML" id="html-2410.00931" aria-labelledby="html-2410.00931" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00931" title="Other formats" id="oth-2410.00931" aria-labelledby="oth-2410.00931">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A simple emulator that enables interpretation of parameter-output relationships, applied to two climate model PPEs </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+Q">Qingyuan Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Elsaesser,+G+S">Gregory S Elsaesser</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Van+Lier-Walqui,+M">Marcus Van Lier-Walqui</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Eidhammer,+T">Trude Eidhammer</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Manuscript to be submitted to Journal of Advances in Modeling Earth Systems (JAMES) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Atmospheric and Oceanic Physics (physics.ao-ph) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2410.00933" title="Abstract" id="2410.00933"> arXiv:2410.00933 </a> [<a href="/pdf/2410.00933" title="Download PDF" id="pdf-2410.00933" aria-labelledby="pdf-2410.00933">pdf</a>, <a href="https://arxiv.org/html/2410.00933v1" title="View HTML" id="html-2410.00933" aria-labelledby="html-2410.00933" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00933" title="Other formats" id="oth-2410.00933" aria-labelledby="oth-2410.00933">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chaves,+A">Anderson Chaves</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ogasawara,+E">Eduardo Ogasawara</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Valduriez,+P">Patrick Valduriez</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Porto,+F">Fabio Porto</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2410.00942" title="Abstract" id="2410.00942"> arXiv:2410.00942 </a> [<a href="/pdf/2410.00942" title="Download PDF" id="pdf-2410.00942" aria-labelledby="pdf-2410.00942">pdf</a>, <a href="https://arxiv.org/html/2410.00942v1" title="View HTML" id="html-2410.00942" aria-labelledby="html-2410.00942" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00942" title="Other formats" id="oth-2410.00942" aria-labelledby="oth-2410.00942">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fokam,+C+T">Cabrel Teguemne Fokam</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jentsch,+C">Carsten Jentsch</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lang,+M">Michel Lang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pauly,+M">Markus Pauly</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2410.00947" title="Abstract" id="2410.00947"> arXiv:2410.00947 </a> [<a href="/pdf/2410.00947" title="Download PDF" id="pdf-2410.00947" aria-labelledby="pdf-2410.00947">pdf</a>, <a href="https://arxiv.org/html/2410.00947v1" title="View HTML" id="html-2410.00947" aria-labelledby="html-2410.00947" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00947" title="Other formats" id="oth-2410.00947" aria-labelledby="oth-2410.00947">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Data-Driven Modeling of Seasonal Dengue Dynamics in Bangladesh: A Bayesian-Stochastic Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hridoy,+M+B">Mahmudul Bari Hridoy</a> (Texas Tech University), <a href="https://arxiv.org/search/stat?searchtype=author&query=Mustaquim,+S+M">S M Mustaquim</a> (The University of Texas at El Paso)</div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 5 figures. Accepted for presentation at the 2024 Biomedical Engineering International Conference (BMEiCON 2024) and to be published in IEEE Xplore </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Populations and Evolution (q-bio.PE); Quantitative Methods (q-bio.QM) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2410.00971" title="Abstract" id="2410.00971"> arXiv:2410.00971 </a> [<a href="/pdf/2410.00971" title="Download PDF" id="pdf-2410.00971" aria-labelledby="pdf-2410.00971">pdf</a>, <a href="https://arxiv.org/html/2410.00971v1" title="View HTML" id="html-2410.00971" aria-labelledby="html-2410.00971" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.00971" title="Other formats" id="oth-2410.00971" aria-labelledby="oth-2410.00971">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Parzer,+R">Roman Parzer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Filzmoser,+P">Peter Filzmoser</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vana-G%C3%BCr,+L">Laura Vana-G眉r</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages, 10 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2410.00985" title="Abstract" id="2410.00985"> arXiv:2410.00985 </a> [<a href="/pdf/2410.00985" title="Download PDF" id="pdf-2410.00985" aria-labelledby="pdf-2410.00985">pdf</a>, <a href="/format/2410.00985" title="Other formats" id="oth-2410.00985" aria-labelledby="oth-2410.00985">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparametric tests of treatment effect homogeneity for policy-makers </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dukes,+O">Oliver Dukes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stensrud,+M+J">Mats J. Stensrud</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Brioschi,+R">Riccardo Brioschi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hudson,+A">Aaron Hudson</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2410.01000" title="Abstract" id="2410.01000"> arXiv:2410.01000 </a> [<a href="/pdf/2410.01000" title="Download PDF" id="pdf-2410.01000" aria-labelledby="pdf-2410.01000">pdf</a>, <a href="https://arxiv.org/html/2410.01000v1" title="View HTML" id="html-2410.01000" aria-labelledby="html-2410.01000" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01000" title="Other formats" id="oth-2410.01000" aria-labelledby="oth-2410.01000">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Longitudinal efficient adjustment sets for time-varying treatment effect estimation in nonparametric causal graphical models </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Adenyo,+D">David Adenyo</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Schnitzer,+M+E">Mireille E Schnitzer</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Berger,+D">David Berger</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Guertin,+J+R">Jason R Guertin</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Candas,+B">Bernard Candas</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Talbot,+D">Denis Talbot</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2410.01001" title="Abstract" id="2410.01001"> arXiv:2410.01001 </a> [<a href="/pdf/2410.01001" title="Download PDF" id="pdf-2410.01001" aria-labelledby="pdf-2410.01001">pdf</a>, <a href="https://arxiv.org/html/2410.01001v2" title="View HTML" id="html-2410.01001" aria-labelledby="html-2410.01001" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01001" title="Other formats" id="oth-2410.01001" aria-labelledby="oth-2410.01001">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Development of a Statistical Predictive Model for Daily Water Table Depth and Important Variables Selection for Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Manna,+A">Alokesh Manna</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mehan,+S">Sushant Mehan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Amatya,+D+M">Devendra M. Amatya</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Autoregressive, Hydrology, time series modeling, variable selection, water table depth, hydrology </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2410.01008" title="Abstract" id="2410.01008"> arXiv:2410.01008 </a> [<a href="/pdf/2410.01008" title="Download PDF" id="pdf-2410.01008" aria-labelledby="pdf-2410.01008">pdf</a>, <a href="https://arxiv.org/html/2410.01008v3" title="View HTML" id="html-2410.01008" aria-labelledby="html-2410.01008" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01008" title="Other formats" id="oth-2410.01008" aria-labelledby="oth-2410.01008">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Manna,+A">Alokesh Manna</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+Z">Zijian Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dey,+D+K">Dipak K. Dey</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gu,+Y">Yuwen Gu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=He,+R">Robin He</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2410.01051" title="Abstract" id="2410.01051"> arXiv:2410.01051 </a> [<a href="/pdf/2410.01051" title="Download PDF" id="pdf-2410.01051" aria-labelledby="pdf-2410.01051">pdf</a>, <a href="https://arxiv.org/html/2410.01051v1" title="View HTML" id="html-2410.01051" aria-labelledby="html-2410.01051" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01051" title="Other formats" id="oth-2410.01051" aria-labelledby="oth-2410.01051">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A class of priors to perform asymmetric Bayesian wavelet shrinkage </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Sousa,+A+R+d+S">Alex Rodrigo dos Santos Sousa</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2410.01063" title="Abstract" id="2410.01063"> arXiv:2410.01063 </a> [<a href="/pdf/2410.01063" title="Download PDF" id="pdf-2410.01063" aria-labelledby="pdf-2410.01063">pdf</a>, <a href="https://arxiv.org/html/2410.01063v1" title="View HTML" id="html-2410.01063" aria-labelledby="html-2410.01063" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01063" title="Other formats" id="oth-2410.01063" aria-labelledby="oth-2410.01063">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Functional summary statistics and testing for independence in marked point processes on the surface of three dimensional convex shapes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ward,+S">Scott Ward</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Cohen,+E+A+K">Edward A. K. Cohen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Adams,+N+M">Niall M. Adams</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2410.01073" title="Abstract" id="2410.01073"> arXiv:2410.01073 </a> [<a href="/pdf/2410.01073" title="Download PDF" id="pdf-2410.01073" aria-labelledby="pdf-2410.01073">pdf</a>, <a href="https://arxiv.org/html/2410.01073v1" title="View HTML" id="html-2410.01073" aria-labelledby="html-2410.01073" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01073" title="Other formats" id="oth-2410.01073" aria-labelledby="oth-2410.01073">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Chen,+Y">Yuchen Chen</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Lei,+J">Jing Lei</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 35 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2410.01086" title="Abstract" id="2410.01086"> arXiv:2410.01086 </a> [<a href="/pdf/2410.01086" title="Download PDF" id="pdf-2410.01086" aria-labelledby="pdf-2410.01086">pdf</a>, <a href="https://arxiv.org/html/2410.01086v1" title="View HTML" id="html-2410.01086" aria-labelledby="html-2410.01086" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01086" title="Other formats" id="oth-2410.01086" aria-labelledby="oth-2410.01086">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+G+H">George H. Chen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Code is available at <a href="https://github.com/georgehc/survival-intro" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2410.01093" title="Abstract" id="2410.01093"> arXiv:2410.01093 </a> [<a href="/pdf/2410.01093" title="Download PDF" id="pdf-2410.01093" aria-labelledby="pdf-2410.01093">pdf</a>, <a href="/format/2410.01093" title="Other formats" id="oth-2410.01093" aria-labelledby="oth-2410.01093">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> High-dimensional logistic regression with missing data: Imputation, regularization, and universality </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Verchand,+K+A">Kabir Aladin Verchand</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Montanari,+A">Andrea Montanari</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2410.01133" title="Abstract" id="2410.01133"> arXiv:2410.01133 </a> [<a href="/pdf/2410.01133" title="Download PDF" id="pdf-2410.01133" aria-labelledby="pdf-2410.01133">pdf</a>, <a href="https://arxiv.org/html/2410.01133v1" title="View HTML" id="html-2410.01133" aria-labelledby="html-2410.01133" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01133" title="Other formats" id="oth-2410.01133" aria-labelledby="oth-2410.01133">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A subcopula characterization of dependence for the Multivariate Bernoulli Distribution </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Erdely,+A">Arturo Erdely</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages, 2 figures, 1 table </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2410.01151" title="Abstract" id="2410.01151"> arXiv:2410.01151 </a> [<a href="/pdf/2410.01151" title="Download PDF" id="pdf-2410.01151" aria-labelledby="pdf-2410.01151">pdf</a>, <a href="https://arxiv.org/html/2410.01151v2" title="View HTML" id="html-2410.01151" aria-labelledby="html-2410.01151" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01151" title="Other formats" id="oth-2410.01151" aria-labelledby="oth-2410.01151">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Effects of Air Pollution on Health: A Longitudinal Study of Los Angeles County Accounting for Measurement Error </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Qu,+Y">Yanfei Qu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stephens,+D+A">David A. Stephens</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2410.01163" title="Abstract" id="2410.01163"> arXiv:2410.01163 </a> [<a href="/pdf/2410.01163" title="Download PDF" id="pdf-2410.01163" aria-labelledby="pdf-2410.01163">pdf</a>, <a href="https://arxiv.org/html/2410.01163v4" title="View HTML" id="html-2410.01163" aria-labelledby="html-2410.01163" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01163" title="Other formats" id="oth-2410.01163" aria-labelledby="oth-2410.01163">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Perturbation-Robust Predictive Modeling of Social Effects by Network Subspace Generalized Linear Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+J">Jianxiang Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Le,+C+M">Can M. Le</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+T">Tianxi Li</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 52 pages, 7 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2410.01168" title="Abstract" id="2410.01168"> arXiv:2410.01168 </a> [<a href="/pdf/2410.01168" title="Download PDF" id="pdf-2410.01168" aria-labelledby="pdf-2410.01168">pdf</a>, <a href="https://arxiv.org/html/2410.01168v1" title="View HTML" id="html-2410.01168" aria-labelledby="html-2410.01168" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01168" title="Other formats" id="oth-2410.01168" aria-labelledby="oth-2410.01168">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> MDDC: An R and Python Package for Adverse Event Identification in Pharmacovigilance Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+A">Anran Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mukhopadhyay,+R">Raktim Mukhopadhyay</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Markatou,+M">Marianthi Markatou</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2410.01194" title="Abstract" id="2410.01194"> arXiv:2410.01194 </a> [<a href="/pdf/2410.01194" title="Download PDF" id="pdf-2410.01194" aria-labelledby="pdf-2410.01194">pdf</a>, <a href="https://arxiv.org/html/2410.01194v1" title="View HTML" id="html-2410.01194" aria-labelledby="html-2410.01194" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01194" title="Other formats" id="oth-2410.01194" aria-labelledby="oth-2410.01194">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Maximum Ideal Likelihood Estimator: An New Estimation and Inference Framework for Latent Variable Models </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Cai,+Y">Yizhou Cai</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ma,+T+F">Ting Fung Ma</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2410.01196" title="Abstract" id="2410.01196"> arXiv:2410.01196 </a> [<a href="/pdf/2410.01196" title="Download PDF" id="pdf-2410.01196" aria-labelledby="pdf-2410.01196">pdf</a>, <a href="https://arxiv.org/html/2410.01196v2" title="View HTML" id="html-2410.01196" aria-labelledby="html-2410.01196" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01196" title="Other formats" id="oth-2410.01196" aria-labelledby="oth-2410.01196">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Miller,+J+J">John Joshua Miller</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mak,+S">Simon Mak</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sun,+B">Benny Sun</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Narayanan,+S+R">Sai Ranjeet Narayanan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+S">Suo Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sun,+Z">Zongxuan Sun</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kim,+K+S">Kenneth S. Kim</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kweon,+C+M">Chol-Bum Mike Kweon</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2410.01223" title="Abstract" id="2410.01223"> arXiv:2410.01223 </a> [<a href="/pdf/2410.01223" title="Download PDF" id="pdf-2410.01223" aria-labelledby="pdf-2410.01223">pdf</a>, <a href="https://arxiv.org/html/2410.01223v4" title="View HTML" id="html-2410.01223" aria-labelledby="html-2410.01223" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2410.01223" title="Other formats" id="oth-2410.01223" aria-labelledby="oth-2410.01223">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical Taylor Expansion </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+C">Chengpu Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 65 pages, 53 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; 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