Statistics Jun 2015

<!DOCTYPE html> <html lang="en"> <head> <title>Statistics Jun 2015</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="apple-touch-icon" sizes="180x180" href="/static/browse/0.3.4/images/icons/apple-touch-icon.png"> <link rel="icon" type="image/png" sizes="32x32" href="/static/browse/0.3.4/images/icons/favicon-32x32.png"> <link rel="icon" type="image/png" sizes="16x16" href="/static/browse/0.3.4/images/icons/favicon-16x16.png"> <link rel="manifest" href="/static/browse/0.3.4/images/icons/site.webmanifest"> <link rel="mask-icon" href="/static/browse/0.3.4/images/icons/safari-pinned-tab.svg" color="#5bbad5"> <meta name="msapplication-TileColor" content="#da532c"> <meta name="theme-color" content="#ffffff"> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/arXiv.css?v=20241206" /> <link rel="stylesheet" type="text/css" media="print" href="/static/browse/0.3.4/css/arXiv-print.css?v=20200611" /> <link rel="stylesheet" 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href=/list/stat/2015-06?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2015-06?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2015-06?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/1506.00043" title="Abstract" id="1506.00043"> arXiv:1506.00043 </a> [<a href="/pdf/1506.00043" title="Download PDF" id="pdf-1506.00043" aria-labelledby="pdf-1506.00043">pdf</a>, <a href="/format/1506.00043" title="Other formats" id="oth-1506.00043" aria-labelledby="oth-1506.00043">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Sampling, feasibility, and priors in Bayesian estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chorin,+A+J">Alexandre J. Chorin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lu,+F">Fei Lu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Miller,+R+N">Robert N. Miller</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Morzfeld,+M">Matthias Morzfeld</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tu,+X">Xuemin Tu</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='item2'>[2]</a> <a href ="/abs/1506.00053" title="Abstract" id="1506.00053"> arXiv:1506.00053 </a> [<a href="/pdf/1506.00053" title="Download PDF" id="pdf-1506.00053" aria-labelledby="pdf-1506.00053">pdf</a>, <a href="/format/1506.00053" title="Other formats" id="oth-1506.00053" aria-labelledby="oth-1506.00053">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient Bayesian experimentation using an expected information gain lower bound </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tsilifis,+P">Panagiotis Tsilifis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ghanem,+R+G">Roger G. Ghanem</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hajali,+P">Paris Hajali</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Geophysics (physics.geo-ph); Computation (stat.CO); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/1506.00088" title="Abstract" id="1506.00088"> arXiv:1506.00088 </a> [<a href="/pdf/1506.00088" title="Download PDF" id="pdf-1506.00088" aria-labelledby="pdf-1506.00088">pdf</a>, <a href="/format/1506.00088" title="Other formats" id="oth-1506.00088" aria-labelledby="oth-1506.00088">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Semimartingale detection and goodness-of-fit tests </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Bull,+A+D">Adam D. Bull</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Statistical Finance (q-fin.ST) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/1506.00089" title="Abstract" id="1506.00089"> arXiv:1506.00089 </a> [<a href="/pdf/1506.00089" title="Download PDF" id="pdf-1506.00089" aria-labelledby="pdf-1506.00089">pdf</a>, <a href="/format/1506.00089" title="Other formats" id="oth-1506.00089" aria-labelledby="oth-1506.00089">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Tracy-Widom law for the Largest Eigenvalue of F Type Matrix </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Han,+X">X. Han</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Pan,+G+M">G. M. Pan</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Zhang,+B">B. Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 50 </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='item5'>[5]</a> <a href ="/abs/1506.00102" title="Abstract" id="1506.00102"> arXiv:1506.00102 </a> [<a href="/pdf/1506.00102" title="Download PDF" id="pdf-1506.00102" aria-labelledby="pdf-1506.00102">pdf</a>, <a href="/format/1506.00102" title="Other formats" id="oth-1506.00102" aria-labelledby="oth-1506.00102">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient combination of pairswise feature networks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bellot,+P">Pau Bellot</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Meyer,+P+E">Patrick E. Meyer</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> JMLR: Workshop and Conference Proceedings, 2014 Connectomics (ECML 2014) </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='item6'>[6]</a> <a href ="/abs/1506.00137" title="Abstract" id="1506.00137"> arXiv:1506.00137 </a> [<a href="/pdf/1506.00137" title="Download PDF" id="pdf-1506.00137" aria-labelledby="pdf-1506.00137">pdf</a>, <a href="/format/1506.00137" title="Other formats" id="oth-1506.00137" aria-labelledby="oth-1506.00137">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Independent component models for replicated point processes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gervini,+D">Daniel Gervini</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='item7'>[7]</a> <a href ="/abs/1506.00138" title="Abstract" id="1506.00138"> arXiv:1506.00138 </a> [<a href="/pdf/1506.00138" title="Download PDF" id="pdf-1506.00138" aria-labelledby="pdf-1506.00138">pdf</a>, <a href="/format/1506.00138" title="Other formats" id="oth-1506.00138" aria-labelledby="oth-1506.00138">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient Computation of Gaussian Likelihoods for Stationary Markov Random Field Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Guinness,+J">Joseph Guinness</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ipsen,+I+C+F">Ilse C. F. Ipsen</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='item8'>[8]</a> <a href ="/abs/1506.00308" title="Abstract" id="1506.00308"> arXiv:1506.00308 </a> [<a href="/pdf/1506.00308" title="Download PDF" id="pdf-1506.00308" aria-labelledby="pdf-1506.00308">pdf</a>, <a href="/format/1506.00308" title="Other formats" id="oth-1506.00308" aria-labelledby="oth-1506.00308">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Automatic Inference for Inverting Software Simulators via Probabilistic Programming </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Saeedi,+A">Ardavan Saeedi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Firoiu,+V">Vlad Firoiu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mansinghka,+V">Vikash Mansinghka</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ICML 2014 AutoML Workshop </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/1506.00323" title="Abstract" id="1506.00323"> arXiv:1506.00323 </a> [<a href="/pdf/1506.00323" title="Download PDF" id="pdf-1506.00323" aria-labelledby="pdf-1506.00323">pdf</a>, <a href="/format/1506.00323" title="Other formats" id="oth-1506.00323" aria-labelledby="oth-1506.00323">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robust PCA: Optimization of the Robust Reconstruction Error over the Stiefel Manifold </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Podosinnikova,+A">Anastasia Podosinnikova</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Setzer,+S">Simon Setzer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hein,+M">Matthias Hein</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> long version of GCPR 2014 paper </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='item10'>[10]</a> <a href ="/abs/1506.00343" title="Abstract" id="1506.00343"> arXiv:1506.00343 </a> [<a href="/pdf/1506.00343" title="Download PDF" id="pdf-1506.00343" aria-labelledby="pdf-1506.00343">pdf</a>, <a href="/format/1506.00343" title="Other formats" id="oth-1506.00343" aria-labelledby="oth-1506.00343">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On Polynomial Chaos Expansion via Gradient-enhanced $\ell_1$-minimization </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Peng,+J">Ji Peng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hampton,+J">Jerrad Hampton</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Doostan,+A">Alireza Doostan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Numerical Analysis (math.NA) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/1506.00356" title="Abstract" id="1506.00356"> arXiv:1506.00356 </a> [<a href="/pdf/1506.00356" title="Download PDF" id="pdf-1506.00356" aria-labelledby="pdf-1506.00356">pdf</a>, <a href="/format/1506.00356" title="Other formats" id="oth-1506.00356" aria-labelledby="oth-1506.00356">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Inferring causal impact using Bayesian structural time-series models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Brodersen,+K+H">Kay H. Brodersen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gallusser,+F">Fabian Gallusser</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Koehler,+J">Jim Koehler</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Remy,+N">Nicolas Remy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Scott,+S+L">Steven L. Scott</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOAS788" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 1, 247-274 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/1506.00360" title="Abstract" id="1506.00360"> arXiv:1506.00360 </a> [<a href="/pdf/1506.00360" title="Download PDF" id="pdf-1506.00360" aria-labelledby="pdf-1506.00360">pdf</a>, <a href="/format/1506.00360" title="Other formats" id="oth-1506.00360" aria-labelledby="oth-1506.00360">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Mixed model and estimating equation approaches for zero inflation in clustered binary response data with application to a dating violence study </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fulton,+K+A">Kara A. Fulton</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+D">Danping Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Haynie,+D+L">Denise L. Haynie</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Albert,+P+S">Paul S. Albert</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOAS791" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 1, 275-299 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/1506.00403" title="Abstract" id="1506.00403"> arXiv:1506.00403 </a> [<a href="/pdf/1506.00403" title="Download PDF" id="pdf-1506.00403" aria-labelledby="pdf-1506.00403">pdf</a>, <a href="/format/1506.00403" title="Other formats" id="oth-1506.00403" aria-labelledby="oth-1506.00403">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Bayesian regression tree approach to identify the effect of nanoparticles' properties on toxicity profiles </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Low-Kam,+C">Cecile Low-Kam</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Telesca,+D">Donatello Telesca</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ji,+Z">Zhaoxia Ji</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+H">Haiyuan Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xia,+T">Tian Xia</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zink,+J+I">Jeffrey I. Zink</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nel,+A+E">Andre E. Nel</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOAS797" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 1, 383-401 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/1506.00414" title="Abstract" id="1506.00414"> arXiv:1506.00414 </a> [<a href="/pdf/1506.00414" title="Download PDF" id="pdf-1506.00414" aria-labelledby="pdf-1506.00414">pdf</a>, <a href="/format/1506.00414" title="Other formats" id="oth-1506.00414" aria-labelledby="oth-1506.00414">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Functional partial canonical correlation </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Huang,+Q">Qing Huang</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Renaut,+R">Rosemary Renaut</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/14-BEJ597" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 1047-1066 </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/1506.00429" title="Abstract" id="1506.00429"> arXiv:1506.00429 </a> [<a href="/pdf/1506.00429" title="Download PDF" id="pdf-1506.00429" aria-labelledby="pdf-1506.00429">pdf</a>, <a href="/format/1506.00429" title="Other formats" id="oth-1506.00429" aria-labelledby="oth-1506.00429">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling for seasonal marked point processes: An analysis of evolving hurricane occurrences </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Xiao,+S">Sai Xiao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kottas,+A">Athanasios Kottas</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sans%C3%B3,+B">Bruno Sans贸</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOAS796" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 1, 353-382 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/1506.00458" title="Abstract" id="1506.00458"> arXiv:1506.00458 </a> [<a href="/pdf/1506.00458" title="Download PDF" id="pdf-1506.00458" aria-labelledby="pdf-1506.00458">pdf</a>, <a href="/format/1506.00458" title="Other formats" id="oth-1506.00458" aria-labelledby="oth-1506.00458">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> CLT for linear spectral statistics of normalized sample covariance matrices with the dimension much larger than the sample size </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Chen,+B">Binbin Chen</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Pan,+G">Guangming Pan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/14-BEJ599" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 1089-1133 </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/1506.00461" title="Abstract" id="1506.00461"> arXiv:1506.00461 </a> [<a href="/pdf/1506.00461" title="Download PDF" id="pdf-1506.00461" aria-labelledby="pdf-1506.00461">pdf</a>, <a href="/format/1506.00461" title="Other formats" id="oth-1506.00461" aria-labelledby="oth-1506.00461">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Hierarchical adaptive polynomial chaos expansions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mai,+C+V">Chu V. Mai</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sudret,+B">Bruno Sudret</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='item18'>[18]</a> <a href ="/abs/1506.00474" title="Abstract" id="1506.00474"> arXiv:1506.00474 </a> [<a href="/pdf/1506.00474" title="Download PDF" id="pdf-1506.00474" aria-labelledby="pdf-1506.00474">pdf</a>, <a href="/format/1506.00474" title="Other formats" id="oth-1506.00474" aria-labelledby="oth-1506.00474">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian nonparametric cross-study validation of prediction methods </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Trippa,+L">Lorenzo Trippa</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Waldron,+L">Levi Waldron</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Huttenhower,+C">Curtis Huttenhower</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Parmigiani,+G">Giovanni Parmigiani</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOAS798" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 1, 402-428 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/1506.00480" title="Abstract" id="1506.00480"> arXiv:1506.00480 </a> [<a href="/pdf/1506.00480" title="Download PDF" id="pdf-1506.00480" aria-labelledby="pdf-1506.00480">pdf</a>, <a href="/format/1506.00480" title="Other formats" id="oth-1506.00480" aria-labelledby="oth-1506.00480">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Markov random field-based approach to characterizing human brain development using spatial-temporal transcriptome data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Lin,+Z">Zhixiang Lin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sanders,+S+J">Stephan J. Sanders</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+M">Mingfeng Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sestan,+N">Nenad Sestan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=State,+M+W">Matthew W. State</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+H">Hongyu Zhao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOAS802" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 1, 429-451 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/1506.00515" title="Abstract" id="1506.00515"> arXiv:1506.00515 </a> [<a href="/pdf/1506.00515" title="Download PDF" id="pdf-1506.00515" aria-labelledby="pdf-1506.00515">pdf</a>, <a href="/format/1506.00515" title="Other formats" id="oth-1506.00515" aria-labelledby="oth-1506.00515">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=van+Waaij,+J">Jan van Waaij</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=van+Zanten,+H">Harry van Zanten</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='item21'>[21]</a> <a href ="/abs/1506.00553" title="Abstract" id="1506.00553"> arXiv:1506.00553 </a> [<a href="/pdf/1506.00553" title="Download PDF" id="pdf-1506.00553" aria-labelledby="pdf-1506.00553">pdf</a>, <a href="/format/1506.00553" title="Other formats" id="oth-1506.00553" aria-labelledby="oth-1506.00553">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bootstrap Bias Corrections for Ensemble Methods </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hooker,+G">Giles Hooker</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mentch,+L">Lucas Mentch</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/1506.00559" title="Abstract" id="1506.00559"> arXiv:1506.00559 </a> [<a href="/pdf/1506.00559" title="Download PDF" id="pdf-1506.00559" aria-labelledby="pdf-1506.00559">pdf</a>, <a href="/format/1506.00559" title="Other formats" id="oth-1506.00559" aria-labelledby="oth-1506.00559">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Risks aggregation in multivariate dependent Pareto distributions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Sarabia,+J+M">Jos茅 Mar铆a Sarabia</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=G%C3%B3mez-D%C3%A9niz,+E">Emilio G贸mez-D茅niz</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Prieto,+F">Faustino Prieto</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jord%C3%A1,+V">Vanesa Jord谩</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This is a preprint (26 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='item23'>[23]</a> <a href ="/abs/1506.00570" title="Abstract" id="1506.00570"> arXiv:1506.00570 </a> [<a href="/pdf/1506.00570" title="Download PDF" id="pdf-1506.00570" aria-labelledby="pdf-1506.00570">pdf</a>, <a href="/format/1506.00570" title="Other formats" id="oth-1506.00570" aria-labelledby="oth-1506.00570">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards automatic calibration of the number of state particles within the SMC$^2$ algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chopin,+N">Nicolas Chopin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ridgway,+J">James Ridgway</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gerber,+M">Mathieu Gerber</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Papaspiliopoulos,+O">Omiros Papaspiliopoulos</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='item24'>[24]</a> <a href ="/abs/1506.00673" title="Abstract" id="1506.00673"> arXiv:1506.00673 </a> [<a href="/pdf/1506.00673" title="Download PDF" id="pdf-1506.00673" aria-labelledby="pdf-1506.00673">pdf</a>, <a href="/format/1506.00673" title="Other formats" id="oth-1506.00673" aria-labelledby="oth-1506.00673">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Mutual Dependence: A Novel Method for Computing Dependencies Between Random Variables </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Agarwal,+R">Rahul Agarwal</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Sacre,+P">Pierre Sacre</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Sarma,+S+V">Sridevi V. Sarma</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/1506.00691" title="Abstract" id="1506.00691"> arXiv:1506.00691 </a> [<a href="/pdf/1506.00691" title="Download PDF" id="pdf-1506.00691" aria-labelledby="pdf-1506.00691">pdf</a>, <a href="/format/1506.00691" title="Other formats" id="oth-1506.00691" aria-labelledby="oth-1506.00691">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Chen,+M">Mengjie Chen</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Gao,+C">Chao Gao</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ren,+Z">Zhao Ren</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='item26'>[26]</a> <a href ="/abs/1506.00728" title="Abstract" id="1506.00728"> arXiv:1506.00728 </a> [<a href="/pdf/1506.00728" title="Download PDF" id="pdf-1506.00728" aria-labelledby="pdf-1506.00728">pdf</a>, <a href="/format/1506.00728" title="Other formats" id="oth-1506.00728" aria-labelledby="oth-1506.00728">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Network assisted analysis to reveal the genetic basis of autism </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+L">Li Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lei,+J">Jing Lei</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roeder,+K">Kathryn Roeder</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/15-AOAS844" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2015, Vol. 9, No. 3, 1571-1600 </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='item27'>[27]</a> <a href ="/abs/1506.00745" title="Abstract" id="1506.00745"> arXiv:1506.00745 </a> [<a href="/pdf/1506.00745" title="Download PDF" id="pdf-1506.00745" aria-labelledby="pdf-1506.00745">pdf</a>, <a href="/format/1506.00745" title="Other formats" id="oth-1506.00745" aria-labelledby="oth-1506.00745">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An objective prior that unifies objective Bayes and information-based inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=LaMont,+C+H">Colin H. LaMont</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wiggins,+P+A">Paul A. Wiggins</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 7 pages, 1 figure (+ minor corrections) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/1506.00748" title="Abstract" id="1506.00748"> arXiv:1506.00748 </a> [<a href="/pdf/1506.00748" title="Download PDF" id="pdf-1506.00748" aria-labelledby="pdf-1506.00748">pdf</a>, <a href="/format/1506.00748" title="Other formats" id="oth-1506.00748" aria-labelledby="oth-1506.00748">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation of a high-dimensional covariance matrix with the Stein loss </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Tsukuma,+H">Hisayuki Tsukuma</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='item29'>[29]</a> <a href ="/abs/1506.00779" title="Abstract" id="1506.00779"> arXiv:1506.00779 </a> [<a href="/pdf/1506.00779" title="Download PDF" id="pdf-1506.00779" aria-labelledby="pdf-1506.00779">pdf</a>, <a href="/format/1506.00779" title="Other formats" id="oth-1506.00779" aria-labelledby="oth-1506.00779">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Komiyama,+J">Junpei Komiyama</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Honda,+J">Junya Honda</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nakagawa,+H">Hiroshi Nakagawa</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Appeared in ICML2015. Fixed the evaluation of term (B) in Lemma 3. Replaced \tilde渭->胃 </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='item30'>[30]</a> <a href ="/abs/1506.00816" title="Abstract" id="1506.00816"> arXiv:1506.00816 </a> [<a href="/pdf/1506.00816" title="Download PDF" id="pdf-1506.00816" aria-labelledby="pdf-1506.00816">pdf</a>, <a href="/format/1506.00816" title="Other formats" id="oth-1506.00816" aria-labelledby="oth-1506.00816">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Covariance matrix estimation and linear process bootstrap for multivariate time series of possibly increasing dimension </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Jentsch,+C">Carsten Jentsch</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Politis,+D+N">Dimitris N. Politis</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.1214/14-AOS1301" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Annals of Statistics (<a href="http://www.imstat.org/aos/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Statistics 2015, Vol. 43, No. 3, 1117-1140 </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='item31'>[31]</a> <a href ="/abs/1506.00821" title="Abstract" id="1506.00821"> arXiv:1506.00821 </a> [<a href="/pdf/1506.00821" title="Download PDF" id="pdf-1506.00821" aria-labelledby="pdf-1506.00821">pdf</a>, <a href="/format/1506.00821" title="Other formats" id="oth-1506.00821" aria-labelledby="oth-1506.00821">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hoang,+H+G">Hung Gia Hoang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vo,+B">Ba-Tuong Vo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vo,+B">Ba-Ngu Vo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages, 8 figures. Part of the paper has been accepted for presentation at the 18th international conference on Information Fusion (FUSION 15) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/1506.00827" title="Abstract" id="1506.00827"> arXiv:1506.00827 </a> [<a href="/pdf/1506.00827" title="Download PDF" id="pdf-1506.00827" aria-labelledby="pdf-1506.00827">pdf</a>, <a href="/format/1506.00827" title="Other formats" id="oth-1506.00827" aria-labelledby="oth-1506.00827">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Testing equality of spectral densities using randomization techniques </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Jentsch,+C">Carsten Jentsch</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Pauly,+M">Markus Pauly</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/13-BEJ584" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 697-739 </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='item33'>[33]</a> <a href ="/abs/1506.00829" title="Abstract" id="1506.00829"> arXiv:1506.00829 </a> [<a href="/pdf/1506.00829" title="Download PDF" id="pdf-1506.00829" aria-labelledby="pdf-1506.00829">pdf</a>, <a href="/format/1506.00829" title="Other formats" id="oth-1506.00829" aria-labelledby="oth-1506.00829">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Bayesian nonparametric approach to testing for dependence between random variables </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Filippi,+S">Sarah Filippi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Holmes,+C">Chris Holmes</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='item34'>[34]</a> <a href ="/abs/1506.00834" title="Abstract" id="1506.00834"> arXiv:1506.00834 </a> [<a href="/pdf/1506.00834" title="Download PDF" id="pdf-1506.00834" aria-labelledby="pdf-1506.00834">pdf</a>, <a href="/format/1506.00834" title="Other formats" id="oth-1506.00834" aria-labelledby="oth-1506.00834">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian quantile regression with approximate likelihood </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Feng,+Y">Yang Feng</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Chen,+Y">Yuguo Chen</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=He,+X">Xuming He</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/13-BEJ589" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 832-850 </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='item35'>[35]</a> <a href ="/abs/1506.00847" title="Abstract" id="1506.00847"> arXiv:1506.00847 </a> [<a href="/pdf/1506.00847" title="Download PDF" id="pdf-1506.00847" aria-labelledby="pdf-1506.00847">pdf</a>, <a href="/format/1506.00847" title="Other formats" id="oth-1506.00847" aria-labelledby="oth-1506.00847">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Two sample inference for the second-order property of temporally dependent functional data </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Zhang,+X">Xianyang Zhang</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Shao,+X">Xiaofeng Shao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/13-BEJ592" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 909-929 </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='item36'>[36]</a> <a href ="/abs/1506.00850" title="Abstract" id="1506.00850"> arXiv:1506.00850 </a> [<a href="/pdf/1506.00850" title="Download PDF" id="pdf-1506.00850" aria-labelledby="pdf-1506.00850">pdf</a>, <a href="/format/1506.00850" title="Other formats" id="oth-1506.00850" aria-labelledby="oth-1506.00850">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exact moduli of continuity for operator-scaling Gaussian random fields </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Li,+Y">Yuqiang Li</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Wang,+W">Wensheng Wang</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Xiao,+Y">Yimin Xiao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/13-BEJ593" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 930-956 </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/1506.00859" title="Abstract" id="1506.00859"> arXiv:1506.00859 </a> [<a href="/pdf/1506.00859" title="Download PDF" id="pdf-1506.00859" aria-labelledby="pdf-1506.00859">pdf</a>, <a href="/format/1506.00859" title="Other formats" id="oth-1506.00859" aria-labelledby="oth-1506.00859">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Reaction times of monitoring schemes for ARMA time series </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Aue,+A">Alexander Aue</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Dienes,+C">Christopher Dienes</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Fremdt,+S">Stefan Fremdt</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Steinebach,+J">Josef Steinebach</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at <a href="http://dx.doi.org/10.3150/14-BEJ604" rel="external noopener nofollow" class="link-external link-http">this http URL</a> in the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2015, Vol. 21, No. 2, 1238-1259 </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='item38'>[38]</a> <a href ="/abs/1506.00878" title="Abstract" id="1506.00878"> arXiv:1506.00878 </a> [<a href="/pdf/1506.00878" title="Download PDF" id="pdf-1506.00878" aria-labelledby="pdf-1506.00878">pdf</a>, <a href="/format/1506.00878" title="Other formats" id="oth-1506.00878" aria-labelledby="oth-1506.00878">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient Maximum Approximated Likelihood Inference for Tukey's g-and-h Distribution </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Xu,+G">Ganggang Xu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Genton,+M+G">Marc G. Genton</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='item39'>[39]</a> <a href ="/abs/1506.00898" title="Abstract" id="1506.00898"> arXiv:1506.00898 </a> [<a href="/pdf/1506.00898" title="Download PDF" id="pdf-1506.00898" aria-labelledby="pdf-1506.00898">pdf</a>, <a href="/format/1506.00898" title="Other formats" id="oth-1506.00898" aria-labelledby="oth-1506.00898">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Extreme Compressive Sampling for Covariance Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Azizyan,+M">Martin Azizyan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Krishnamurthy,+A">Akshay Krishnamurthy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Singh,+A">Aarti Singh</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> IEEE Transactions on Information Theory (Volume: 64, Issue: 12, Dec. 2018) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Information Theory (cs.IT) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/1506.00947" title="Abstract" id="1506.00947"> arXiv:1506.00947 </a> [<a href="/pdf/1506.00947" title="Download PDF" id="pdf-1506.00947" aria-labelledby="pdf-1506.00947">pdf</a>, <a href="/format/1506.00947" title="Other formats" id="oth-1506.00947" aria-labelledby="oth-1506.00947">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Localization of epileptic seizure with an approach based on the PSD with an autoregressive model </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Issaka,+M+A">Mahamat Ali Issaka</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dabye,+A+S">Ali S. Dabye</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gueye,+L">Lamine Gueye</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='item41'>[41]</a> <a href ="/abs/1506.01113" title="Abstract" id="1506.01113"> arXiv:1506.01113 </a> [<a href="/pdf/1506.01113" title="Download PDF" id="pdf-1506.01113" aria-labelledby="pdf-1506.01113">pdf</a>, <a href="/format/1506.01113" title="Other formats" id="oth-1506.01113" aria-labelledby="oth-1506.01113">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Miranda,+C+S">Conrado Silva Miranda</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Von+Zuben,+F+J">Fernando Jos茅 Von Zuben</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='item42'>[42]</a> <a href ="/abs/1506.01117" title="Abstract" id="1506.01117"> arXiv:1506.01117 </a> [<a href="/pdf/1506.01117" title="Download PDF" id="pdf-1506.01117" aria-labelledby="pdf-1506.01117">pdf</a>, <a href="/format/1506.01117" title="Other formats" id="oth-1506.01117" aria-labelledby="oth-1506.01117">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimating Residual Connectivity for Random Graphs </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Shah,+R">Rohan Shah</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kroese,+D+P">Dirk P. Kroese</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 29 pages, 13 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/1506.01194" title="Abstract" id="1506.01194"> arXiv:1506.01194 </a> [<a href="/pdf/1506.01194" title="Download PDF" id="pdf-1506.01194" aria-labelledby="pdf-1506.01194">pdf</a>, <a href="/format/1506.01194" title="Other formats" id="oth-1506.01194" aria-labelledby="oth-1506.01194">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> State estimation for temporal point processes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=van+Lieshout,+M">M.N.M. van Lieshout</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='item44'>[44]</a> <a href ="/abs/1506.01223" title="Abstract" id="1506.01223"> arXiv:1506.01223 </a> [<a href="/pdf/1506.01223" title="Download PDF" id="pdf-1506.01223" aria-labelledby="pdf-1506.01223">pdf</a>, <a href="/format/1506.01223" title="Other formats" id="oth-1506.01223" aria-labelledby="oth-1506.01223">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The shooting S-estimator for robust regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=%C3%96llerer,+V">Viktoria 脰llerer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Alfons,+A">Andreas Alfons</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Croux,+C">Christophe Croux</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Computational Statistics, 31(3), 829-844 (2016) </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/1506.01281" title="Abstract" id="1506.01281"> arXiv:1506.01281 </a> [<a href="/pdf/1506.01281" title="Download PDF" id="pdf-1506.01281" aria-labelledby="pdf-1506.01281">pdf</a>, <a href="/format/1506.01281" title="Other formats" id="oth-1506.01281" aria-labelledby="oth-1506.01281">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Do debit cards decrease cash demand? Evidence from a causal analysis using Principal Stratification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mercatanti,+A">Andrea Mercatanti</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+F">Fan Li</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 29 pages, 4 figures </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/1506.01286" title="Abstract" id="1506.01286"> arXiv:1506.01286 </a> [<a href="/pdf/1506.01286" title="Download PDF" id="pdf-1506.01286" aria-labelledby="pdf-1506.01286">pdf</a>, <a href="/format/1506.01286" title="Other formats" id="oth-1506.01286" aria-labelledby="oth-1506.01286">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hocking,+T+D">Toby Dylan Hocking</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bourque,+G">Guillaume Bourque</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Genomics (q-bio.GN) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/1506.01332" title="Abstract" id="1506.01332"> arXiv:1506.01332 </a> [<a href="/pdf/1506.01332" title="Download PDF" id="pdf-1506.01332" aria-labelledby="pdf-1506.01332">pdf</a>, <a href="/format/1506.01332" title="Other formats" id="oth-1506.01332" aria-labelledby="oth-1506.01332">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Study of Functional Depths </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Long,+J+P">James P. Long</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+J+Z">Jianhua Z. Huang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 13 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='item48'>[48]</a> <a href ="/abs/1506.01338" title="Abstract" id="1506.01338"> arXiv:1506.01338 </a> [<a href="/pdf/1506.01338" title="Download PDF" id="pdf-1506.01338" aria-labelledby="pdf-1506.01338">pdf</a>, <a href="/format/1506.01338" title="Other formats" id="oth-1506.01338" aria-labelledby="oth-1506.01338">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimal change point detection in Gaussian processes </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Keshavarz,+H">Hossein Keshavarz</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Scott,+C">Clayton Scott</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Nguyen,+X">XuanLong Nguyen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 42 pages, 2 figures </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); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/1506.01349" title="Abstract" id="1506.01349"> arXiv:1506.01349 </a> [<a href="/pdf/1506.01349" title="Download PDF" id="pdf-1506.01349" aria-labelledby="pdf-1506.01349">pdf</a>, <a href="/format/1506.01349" title="Other formats" id="oth-1506.01349" aria-labelledby="oth-1506.01349">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian optimization for materials design </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Frazier,+P+I">Peter I. Frazier</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+J">Jialei Wang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/1506.01388" title="Abstract" id="1506.01388"> arXiv:1506.01388 </a> [<a href="/pdf/1506.01388" title="Download PDF" id="pdf-1506.01388" aria-labelledby="pdf-1506.01388">pdf</a>, <a href="/format/1506.01388" title="Other formats" id="oth-1506.01388" aria-labelledby="oth-1506.01388">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Linking the performance of endurance runners to training and physiological effects via multi-resolution elastic net </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kosmidis,+I">Ioannis Kosmidis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Passfield,+L">Louis Passfield</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 504 entries : <span>1-50</span> <a href=/list/stat/2015-06?skip=50&show=50>51-100</a> <a href=/list/stat/2015-06?skip=100&show=50>101-150</a> <a href=/list/stat/2015-06?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/2015-06?skip=500&show=50>501-504</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2015-06?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2015-06?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2015-06?skip=0&show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em">  <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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Statistics Jun 2015