Computation Mar 2025

<!DOCTYPE html> <html lang="en"> <head> <title>Computation Mar 2025</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" type="text/css" media="screen" href="/static/browse/0.3.4/css/browse_search.css" /> <script language="javascript" src="/static/browse/0.3.4/js/accordion.js" /></script> <script src="/static/browse/0.3.4/js/mathjaxToggle.min.js" type="text/javascript"></script> <script type="text/javascript" language="javascript">mathjaxToggle();</script> </head> <body class="with-cu-identity"> <div class="flex-wrap-footer"> <header> <a href="#content" class="is-sr-only">Skip to main content</a>  <div class="columns is-vcentered is-hidden-mobile" id="cu-identity"> <div class="column" id="cu-logo"> <a href="https://www.cornell.edu/"><img src="/static/browse/0.3.4/images/icons/cu/cornell-reduced-white-SMALL.svg" alt="Cornell University" /></a> </div><div class="column" id="support-ack"> <span id="support-ack-url">We gratefully acknowledge support from the Simons Foundation, <a href="https://info.arxiv.org/about/ourmembers.html">member institutions</a>, and all contributors.</span> <a href="https://info.arxiv.org/about/donate.html" class="btn-header-donate">Donate</a> </div> </div> <div id="header" class="is-hidden-mobile"> <a aria-hidden="true" tabindex="-1" href="/IgnoreMe"></a> <div class="header-breadcrumbs"> <a href="/"><img src="/static/browse/0.3.4/images/arxiv-logo-one-color-white.svg" alt="arxiv logo" style="height:40px;"/></a> <span>></span> <a href="/list/stat.CO/recent">stat.CO</a> </div> <div class="search-block level-right"> <form class="level-item mini-search" method="GET" action="https://arxiv.org/search"> <div class="field has-addons"> <div class="control"> <input class="input is-small" type="text" name="query" placeholder="Search..." aria-label="Search term or terms" /> <p class="help"><a href="https://info.arxiv.org/help">Help</a> | <a href="https://arxiv.org/search/advanced">Advanced Search</a></p> </div> <div class="control"> <div class="select is-small"> <select name="searchtype" aria-label="Field to search"> <option value="all" selected="selected">All fields</option> <option value="title">Title</option> <option value="author">Author</option> <option value="abstract">Abstract</option> <option value="comments">Comments</option> <option value="journal_ref">Journal reference</option> <option value="acm_class">ACM classification</option> <option value="msc_class">MSC classification</option> <option value="report_num">Report number</option> <option value="paper_id">arXiv identifier</option> <option value="doi">DOI</option> <option value="orcid">ORCID</option> <option value="author_id">arXiv author ID</option> <option value="help">Help pages</option> <option value="full_text">Full text</option> </select> </div> </div> <input type="hidden" name="source" value="header"> <button class="button is-small is-cul-darker">Search</button> </div> </form> </div> </div> <div class="mobile-header"> <div class="columns is-mobile"> <div class="column logo-arxiv"><a href="https://arxiv.org/"><img src="/static/browse/0.3.4/images/arxiv-logomark-small-white.svg" alt="arXiv logo" style="height:60px;" /></a></div> <div class="column logo-cornell"><a href="https://www.cornell.edu/"> <picture> <source media="(min-width: 501px)" srcset="/static/browse/0.3.4/images/icons/cu/cornell-reduced-white-SMALL.svg 400w" sizes="400w" /> <source srcset="/static/browse/0.3.4/images/icons/cu/cornell_seal_simple_black.svg 2x" /> <img src="/static/browse/0.3.4/images/icons/cu/cornell-reduced-white-SMALL.svg" alt="Cornell University Logo" /> </picture> </a></div> <div class="column nav" id="toggle-container" role="menubar"> <button class="toggle-control"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-white"><title>open search</title><path d="M505 442.7L405.3 343c-4.5-4.5-10.6-7-17-7H372c27.6-35.3 44-79.7 44-128C416 93.1 322.9 0 208 0S0 93.1 0 208s93.1 208 208 208c48.3 0 92.7-16.4 128-44v16.3c0 6.4 2.5 12.5 7 17l99.7 99.7c9.4 9.4 24.6 9.4 33.9 0l28.3-28.3c9.4-9.4 9.4-24.6.1-34zM208 336c-70.7 0-128-57.2-128-128 0-70.7 57.2-128 128-128 70.7 0 128 57.2 128 128 0 70.7-57.2 128-128 128z"/></svg></button> <div class="mobile-toggle-block toggle-target"> <form class="mobile-search-form" method="GET" action="https://arxiv.org/search"> <div class="field has-addons"> <input class="input" type="text" name="query" placeholder="Search..." aria-label="Search term or terms" /> <input type="hidden" name="source" value="header"> <input type="hidden" name="searchtype" value="all"> <button class="button">GO</button> </div> </form> </div> <button class="toggle-control"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" class="icon filter-white" role="menu"><title>open navigation menu</title><path d="M16 132h416c8.837 0 16-7.163 16-16V76c0-8.837-7.163-16-16-16H16C7.163 60 0 67.163 0 76v40c0 8.837 7.163 16 16 16zm0 160h416c8.837 0 16-7.163 16-16v-40c0-8.837-7.163-16-16-16H16c-8.837 0-16 7.163-16 16v40c0 8.837 7.163 16 16 16zm0 160h416c8.837 0 16-7.163 16-16v-40c0-8.837-7.163-16-16-16H16c-8.837 0-16 7.163-16 16v40c0 8.837 7.163 16 16 16z"/ ></svg></button> <div class="mobile-toggle-block toggle-target"> <nav class="mobile-menu" aria-labelledby="mobilemenulabel"> <h2 id="mobilemenulabel">quick links</h2> <ul> <li><a href="https://arxiv.org/login">Login</a></li> <li><a href="https://info.arxiv.org/help">Help Pages</a></li> <li><a href="https://info.arxiv.org/about">About</a></li> </ul> </nav> </div> </div> </div> </div> </header> <main> <div id="content"> <div id='content-inner'> <div id='dlpage'> <h1>Computation</h1> <h2>Authors and titles for March 2025 </h2> <div class='paging'>Total of 69 entries : <span>1-50</span> <a href=/list/stat.CO/current?skip=50&show=50>51-69</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat.CO/current?skip=0&show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <a href=/list/stat.CO/current?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2503.00239" title="Abstract" id="2503.00239"> arXiv:2503.00239 </a> [<a href="/pdf/2503.00239" title="Download PDF" id="pdf-2503.00239" aria-labelledby="pdf-2503.00239">pdf</a>, <a href="https://arxiv.org/html/2503.00239v1" title="View HTML" id="html-2503.00239" aria-labelledby="html-2503.00239" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00239" title="Other formats" id="oth-2503.00239" aria-labelledby="oth-2503.00239">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Wild posteriors in the wild </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Shen,+Y">Yunyi Shen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Broderick,+T">Tamara Broderick</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='item2'>[2]</a> <a href ="/abs/2503.01566" title="Abstract" id="2503.01566"> arXiv:2503.01566 </a> [<a href="/pdf/2503.01566" title="Download PDF" id="pdf-2503.01566" aria-labelledby="pdf-2503.01566">pdf</a>, <a href="https://arxiv.org/html/2503.01566v1" title="View HTML" id="html-2503.01566" aria-labelledby="html-2503.01566" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01566" title="Other formats" id="oth-2503.01566" aria-labelledby="oth-2503.01566">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient Long-Term Structural Reliability Estimation with Non-Gaussian Stochastic Models: A Design of Experiments Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Winter,+S">Sebastian Winter</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Agrell,+C">Christian Agrell</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=G%C3%B3mez,+J+C+G">Juan Camilo Guevara G贸mez</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vanem,+E">Erik Vanem</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2503.01707" title="Abstract" id="2503.01707"> arXiv:2503.01707 </a> [<a href="/pdf/2503.01707" title="Download PDF" id="pdf-2503.01707" aria-labelledby="pdf-2503.01707">pdf</a>, <a href="https://arxiv.org/html/2503.01707v1" title="View HTML" id="html-2503.01707" aria-labelledby="html-2503.01707" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01707" title="Other formats" id="oth-2503.01707" aria-labelledby="oth-2503.01707">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Robnik,+J">Jakob Robnik</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Cohn-Gordon,+R">Reuben Cohn-Gordon</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Seljak,+U">Uro拧 Seljak</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages, 3 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='item4'>[4]</a> <a href ="/abs/2503.02818" title="Abstract" id="2503.02818"> arXiv:2503.02818 </a> [<a href="/pdf/2503.02818" title="Download PDF" id="pdf-2503.02818" aria-labelledby="pdf-2503.02818">pdf</a>, <a href="https://arxiv.org/html/2503.02818v1" title="View HTML" id="html-2503.02818" aria-labelledby="html-2503.02818" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.02818" title="Other formats" id="oth-2503.02818" aria-labelledby="oth-2503.02818">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Random sampling of partitions and contingency tables: Two practical examples of the Burnside process </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Diaconis,+P">Persi Diaconis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Howes,+M">Michael Howes</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Combinatorics (math.CO); Probability (math.PR) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2503.04246" title="Abstract" id="2503.04246"> arXiv:2503.04246 </a> [<a href="/pdf/2503.04246" title="Download PDF" id="pdf-2503.04246" aria-labelledby="pdf-2503.04246">pdf</a>, <a href="https://arxiv.org/html/2503.04246v1" title="View HTML" id="html-2503.04246" aria-labelledby="html-2503.04246" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.04246" title="Other formats" id="oth-2503.04246" aria-labelledby="oth-2503.04246">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Weighted Fisher divergence for high-dimensional Gaussian variational inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+A">Aoxiang Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nott,+D+J">David J. Nott</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tan,+L+S+L">Linda S. L. Tan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 30 pages, 10 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='item6'>[6]</a> <a href ="/abs/2503.05297" title="Abstract" id="2503.05297"> arXiv:2503.05297 </a> [<a href="/pdf/2503.05297" title="Download PDF" id="pdf-2503.05297" aria-labelledby="pdf-2503.05297">pdf</a>, <a href="https://arxiv.org/html/2503.05297v1" title="View HTML" id="html-2503.05297" aria-labelledby="html-2503.05297" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.05297" title="Other formats" id="oth-2503.05297" aria-labelledby="oth-2503.05297">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> regMMD: a package for parametric estimation and regression with maximum mean discrepancy </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Alquier,+P">Pierre Alquier</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gerber,+M">Mathieu Gerber</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages, 3 figures </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='item7'>[7]</a> <a href ="/abs/2503.06401" title="Abstract" id="2503.06401"> arXiv:2503.06401 </a> [<a href="/pdf/2503.06401" title="Download PDF" id="pdf-2503.06401" aria-labelledby="pdf-2503.06401">pdf</a>, <a href="https://arxiv.org/html/2503.06401v1" title="View HTML" id="html-2503.06401" aria-labelledby="html-2503.06401" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.06401" title="Other formats" id="oth-2503.06401" aria-labelledby="oth-2503.06401">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> fastfrechet: An R package for fast implementation of Fr茅chet regression with distributional responses </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Coulter,+A">Alexander Coulter</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lee,+R">Rebecca Lee</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gaynanova,+I">Irina Gaynanova</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 4 pages, 2 figures </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='item8'>[8]</a> <a href ="/abs/2503.06822" title="Abstract" id="2503.06822"> arXiv:2503.06822 </a> [<a href="/pdf/2503.06822" title="Download PDF" id="pdf-2503.06822" aria-labelledby="pdf-2503.06822">pdf</a>, <a href="https://arxiv.org/html/2503.06822v1" title="View HTML" id="html-2503.06822" aria-labelledby="html-2503.06822" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.06822" title="Other formats" id="oth-2503.06822" aria-labelledby="oth-2503.06822">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Model-based edge clustering for weighted networks with a noise component </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+H">Haomin Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sewell,+D+K">Daniel K. Sewell</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 27 pages, 8 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='item9'>[9]</a> <a href ="/abs/2503.10930" title="Abstract" id="2503.10930"> arXiv:2503.10930 </a> [<a href="/pdf/2503.10930" title="Download PDF" id="pdf-2503.10930" aria-labelledby="pdf-2503.10930">pdf</a>, <a href="https://arxiv.org/html/2503.10930v1" title="View HTML" id="html-2503.10930" aria-labelledby="html-2503.10930" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10930" title="Other formats" id="oth-2503.10930" aria-labelledby="oth-2503.10930">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Sparse Functional Data Classification via Bayesian Aggregation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Talafha,+A">Ahmad Talafha</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='item10'>[10]</a> <a href ="/abs/2503.11479" title="Abstract" id="2503.11479"> arXiv:2503.11479 </a> [<a href="/pdf/2503.11479" title="Download PDF" id="pdf-2503.11479" aria-labelledby="pdf-2503.11479">pdf</a>, <a href="https://arxiv.org/html/2503.11479v1" title="View HTML" id="html-2503.11479" aria-labelledby="html-2503.11479" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11479" title="Other formats" id="oth-2503.11479" aria-labelledby="oth-2503.11479">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards practical PDMP sampling: Metropolis adjustments, locally adaptive step-sizes, and NUTS-based time lengths </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chevallier,+A">Augustin Chevallier</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Power,+S">Sam Power</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sutton,+M">Matthew Sutton</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Probability (math.PR); Statistics Theory (math.ST); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2503.11583" title="Abstract" id="2503.11583"> arXiv:2503.11583 </a> [<a href="/pdf/2503.11583" title="Download PDF" id="pdf-2503.11583" aria-labelledby="pdf-2503.11583">pdf</a>, <a href="https://arxiv.org/html/2503.11583v1" title="View HTML" id="html-2503.11583" aria-labelledby="html-2503.11583" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11583" title="Other formats" id="oth-2503.11583" aria-labelledby="oth-2503.11583">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A unified framework for multiple-try Metropolis algorithms </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Doig,+R">Renny Doig</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+L">Liangliang Wang</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='item12'>[12]</a> <a href ="/abs/2503.15287" title="Abstract" id="2503.15287"> arXiv:2503.15287 </a> [<a href="/pdf/2503.15287" title="Download PDF" id="pdf-2503.15287" aria-labelledby="pdf-2503.15287">pdf</a>, <a href="https://arxiv.org/html/2503.15287v1" title="View HTML" id="html-2503.15287" aria-labelledby="html-2503.15287" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.15287" title="Other formats" id="oth-2503.15287" aria-labelledby="oth-2503.15287">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distributed Generalized Linear Models: A Privacy-Preserving Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tinoco,+D">Daniel Tinoco</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Menezes,+R">Raquel Menezes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Baquero,+C">Carlos Baquero</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Total PDF pages: 23 Figures: 7 </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='item13'>[13]</a> <a href ="/abs/2503.16027" title="Abstract" id="2503.16027"> arXiv:2503.16027 </a> [<a href="/pdf/2503.16027" title="Download PDF" id="pdf-2503.16027" aria-labelledby="pdf-2503.16027">pdf</a>, <a href="https://arxiv.org/html/2503.16027v1" title="View HTML" id="html-2503.16027" aria-labelledby="html-2503.16027" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.16027" title="Other formats" id="oth-2503.16027" aria-labelledby="oth-2503.16027">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distribution of Deep Gaussian process Gradients and Sequential Design for Simulators with Sharp Variations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+Y">Yiming Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ming,+D">Deyu Ming</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Guillas,+S">Serge Guillas</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Applications (stat.AP); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2503.16222" title="Abstract" id="2503.16222"> arXiv:2503.16222 </a> [<a href="/pdf/2503.16222" title="Download PDF" id="pdf-2503.16222" aria-labelledby="pdf-2503.16222">pdf</a>, <a href="https://arxiv.org/html/2503.16222v1" title="View HTML" id="html-2503.16222" aria-labelledby="html-2503.16222" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.16222" title="Other formats" id="oth-2503.16222" aria-labelledby="oth-2503.16222">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Klatzer,+T">Teresa Klatzer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Melidonis,+S">Savvas Melidonis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pereyra,+M">Marcelo Pereyra</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zygalakis,+K+C">Konstantinos C. Zygalakis</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 31 pages, 17 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Computer Vision and Pattern Recognition (cs.CV); Numerical Analysis (math.NA); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2503.16686" title="Abstract" id="2503.16686"> arXiv:2503.16686 </a> [<a href="/pdf/2503.16686" title="Download PDF" id="pdf-2503.16686" aria-labelledby="pdf-2503.16686">pdf</a>, <a href="https://arxiv.org/html/2503.16686v1" title="View HTML" id="html-2503.16686" aria-labelledby="html-2503.16686" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.16686" title="Other formats" id="oth-2503.16686" aria-labelledby="oth-2503.16686">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spatial Data Science Languages: commonalities and needs </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pebesma,+E">Edzer Pebesma</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Fleischmann,+M">Martin Fleischmann</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Parry,+J">Josiah Parry</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nowosad,+J">Jakub Nowosad</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Graser,+A">Anita Graser</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dunnington,+D">Dewey Dunnington</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pronk,+M">Maarten Pronk</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Schouten,+R">Rafael Schouten</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lovelace,+R">Robin Lovelace</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Appel,+M">Marius Appel</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Abad,+L">Lorena Abad</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Programming Languages (cs.PL) </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2503.17796" title="Abstract" id="2503.17796"> arXiv:2503.17796 </a> [<a href="/pdf/2503.17796" title="Download PDF" id="pdf-2503.17796" aria-labelledby="pdf-2503.17796">pdf</a>, <a href="https://arxiv.org/html/2503.17796v1" title="View HTML" id="html-2503.17796" aria-labelledby="html-2503.17796" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.17796" title="Other formats" id="oth-2503.17796" aria-labelledby="oth-2503.17796">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Langevin Bi-fidelity Importance Sampling for Failure Probability Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cheng,+N">Nuojin Cheng</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> </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2503.00002" title="Abstract" id="2503.00002"> arXiv:2503.00002 </a> (cross-list from stat.ME) [<a href="/pdf/2503.00002" title="Download PDF" id="pdf-2503.00002" aria-labelledby="pdf-2503.00002">pdf</a>, <a href="https://arxiv.org/html/2503.00002v1" title="View HTML" id="html-2503.00002" aria-labelledby="html-2503.00002" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00002" title="Other formats" id="oth-2503.00002" aria-labelledby="oth-2503.00002">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cui,+E+H">Elvis Han Cui</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Collins,+M">Michael Collins</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Munson,+J">Jessica Munson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wong,+W+K">Weng Kee Wong</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2503.00251" title="Abstract" id="2503.00251"> arXiv:2503.00251 </a> (cross-list from stat.ME) [<a href="/pdf/2503.00251" title="Download PDF" id="pdf-2503.00251" aria-labelledby="pdf-2503.00251">pdf</a>, <a href="https://arxiv.org/html/2503.00251v2" title="View HTML" id="html-2503.00251" aria-labelledby="html-2503.00251" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00251" title="Other formats" id="oth-2503.00251" aria-labelledby="oth-2503.00251">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Framework to Analyze Multiscale Sampling MCMC Methods </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Seiffert,+L">Lucas Seiffert</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pereira,+F">Felipe Pereira</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2503.00465" title="Abstract" id="2503.00465"> arXiv:2503.00465 </a> (cross-list from stat.ME) [<a href="/pdf/2503.00465" title="Download PDF" id="pdf-2503.00465" aria-labelledby="pdf-2503.00465">pdf</a>, <a href="https://arxiv.org/html/2503.00465v1" title="View HTML" id="html-2503.00465" aria-labelledby="html-2503.00465" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00465" title="Other formats" id="oth-2503.00465" aria-labelledby="oth-2503.00465">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Inference for Non-Synchronously Observed Diffusions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Jasra,+A">Ajay Jasra</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kamatani,+K">Kengo Kamatani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wu,+A">Amin Wu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2503.00538" title="Abstract" id="2503.00538"> arXiv:2503.00538 </a> (cross-list from math.ST) [<a href="/pdf/2503.00538" title="Download PDF" id="pdf-2503.00538" aria-labelledby="pdf-2503.00538">pdf</a>, <a href="https://arxiv.org/html/2503.00538v1" title="View HTML" id="html-2503.00538" aria-labelledby="html-2503.00538" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00538" title="Other formats" id="oth-2503.00538" aria-labelledby="oth-2503.00538">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Geometric Ergodicity of a Gibbs Algorithm for a Normal Model With a Horseshoe Prior </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Hamura,+Y">Yasuyuki Hamura</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2503.00815" title="Abstract" id="2503.00815"> arXiv:2503.00815 </a> (cross-list from stat.AP) [<a href="/pdf/2503.00815" title="Download PDF" id="pdf-2503.00815" aria-labelledby="pdf-2503.00815">pdf</a>, <a href="https://arxiv.org/html/2503.00815v1" title="View HTML" id="html-2503.00815" aria-labelledby="html-2503.00815" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00815" title="Other formats" id="oth-2503.00815" aria-labelledby="oth-2503.00815">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+X">Xiaomi Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Imberg,+H">Henrik Imberg</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Flannagan,+C">Carol Flannagan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=B%C3%A4rgman,+J">Jonas B盲rgman</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Machine Learning (cs.LG); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2503.01414" title="Abstract" id="2503.01414"> arXiv:2503.01414 </a> (cross-list from cond-mat.soft) [<a href="/pdf/2503.01414" title="Download PDF" id="pdf-2503.01414" aria-labelledby="pdf-2503.01414">pdf</a>, <a href="https://arxiv.org/html/2503.01414v1" title="View HTML" id="html-2503.01414" aria-labelledby="html-2503.01414" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01414" title="Other formats" id="oth-2503.01414" aria-labelledby="oth-2503.01414">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Temporal Correlations and Inelastic Dynamics in a Vibrated Binary Granular Mixture </div> <div class='list-authors'><a href="https://arxiv.org/search/cond-mat?searchtype=author&query=Shah,+R+F">Rameez Farooq Shah</a>, <a href="https://arxiv.org/search/cond-mat?searchtype=author&query=Ahmad,+S+R">Syed Rashid Ahmad</a>, <a href="https://arxiv.org/search/cond-mat?searchtype=author&query=Kumari,+S">Shikha Kumari</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Soft Condensed Matter (cond-mat.soft)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2503.01509" title="Abstract" id="2503.01509"> arXiv:2503.01509 </a> (cross-list from stat.ME) [<a href="/pdf/2503.01509" title="Download PDF" id="pdf-2503.01509" aria-labelledby="pdf-2503.01509">pdf</a>, <a href="/format/2503.01509" title="Other formats" id="oth-2503.01509" aria-labelledby="oth-2503.01509">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Recommendations for visual predictive checks in Bayesian workflow </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=S%C3%A4ilynoja,+T">Teemu S盲ilynoja</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Johnson,+A+R">Andrew R. Johnson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Martin,+O+A">Osvaldo A. Martin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vehtari,+A">Aki Vehtari</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 29 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2503.02266" title="Abstract" id="2503.02266"> arXiv:2503.02266 </a> (cross-list from stat.ME) [<a href="/pdf/2503.02266" title="Download PDF" id="pdf-2503.02266" aria-labelledby="pdf-2503.02266">pdf</a>, <a href="https://arxiv.org/html/2503.02266v1" title="View HTML" id="html-2503.02266" aria-labelledby="html-2503.02266" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.02266" title="Other formats" id="oth-2503.02266" aria-labelledby="oth-2503.02266">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generalized Tree-Informed Mixed Model Regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Allis,+J">Jeremiah Allis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jin,+X">Xin Jin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ghosh,+R">Riddhi Ghosh</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages, 6 figures, 4 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2503.02611" title="Abstract" id="2503.02611"> arXiv:2503.02611 </a> (cross-list from stat.ME) [<a href="/pdf/2503.02611" title="Download PDF" id="pdf-2503.02611" aria-labelledby="pdf-2503.02611">pdf</a>, <a href="https://arxiv.org/html/2503.02611v1" title="View HTML" id="html-2503.02611" aria-labelledby="html-2503.02611" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.02611" title="Other formats" id="oth-2503.02611" aria-labelledby="oth-2503.02611">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fast and robust invariant generalized linear models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Knight,+P">Parker Knight</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jobe,+N+I">Ndey Isatou Jobe</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Duan,+R">Rui Duan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 30 pages, 3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2503.02906" title="Abstract" id="2503.02906"> arXiv:2503.02906 </a> (cross-list from eess.IV) [<a href="/pdf/2503.02906" title="Download PDF" id="pdf-2503.02906" aria-labelledby="pdf-2503.02906">pdf</a>, <a href="/format/2503.02906" title="Other formats" id="oth-2503.02906" aria-labelledby="oth-2503.02906">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Arizmendi,+C">Carlos Arizmendi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Pinto,+J">Jorge Pinto</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Arboleda,+A">Alejandro Arboleda</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gonz%C3%A1lez,+H">Hernando Gonz谩lez</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2503.03526" title="Abstract" id="2503.03526"> arXiv:2503.03526 </a> (cross-list from math.OC) [<a href="/pdf/2503.03526" title="Download PDF" id="pdf-2503.03526" aria-labelledby="pdf-2503.03526">pdf</a>, <a href="/format/2503.03526" title="Other formats" id="oth-2503.03526" aria-labelledby="oth-2503.03526">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Novel First-order Method with Event-driven Objective Evaluations </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Varner,+C">Christian Varner</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Patel,+V">Vivak Patel</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 5 figures, 5 tables, 3 algorithms </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2503.03550" title="Abstract" id="2503.03550"> arXiv:2503.03550 </a> (cross-list from stat.ME) [<a href="/pdf/2503.03550" title="Download PDF" id="pdf-2503.03550" aria-labelledby="pdf-2503.03550">pdf</a>, <a href="https://arxiv.org/html/2503.03550v2" title="View HTML" id="html-2503.03550" aria-labelledby="html-2503.03550" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.03550" title="Other formats" id="oth-2503.03550" aria-labelledby="oth-2503.03550">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Semiparametric Growth-Curve Modeling in Hierarchical, Longitudinal Studies </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Selukar,+R">Rajesh Selukar</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2503.04326" title="Abstract" id="2503.04326"> arXiv:2503.04326 </a> (cross-list from math.PR) [<a href="/pdf/2503.04326" title="Download PDF" id="pdf-2503.04326" aria-labelledby="pdf-2503.04326">pdf</a>, <a href="https://arxiv.org/html/2503.04326v1" title="View HTML" id="html-2503.04326" aria-labelledby="html-2503.04326" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.04326" title="Other formats" id="oth-2503.04326" aria-labelledby="oth-2503.04326">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Guided smoothing and control for diffusion processes </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Eklund,+O">Oskar Eklund</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Lang,+A">Annika Lang</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Schauer,+M">Moritz Schauer</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Probability (math.PR)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2503.04775" title="Abstract" id="2503.04775"> arXiv:2503.04775 </a> (cross-list from stat.ME) [<a href="/pdf/2503.04775" title="Download PDF" id="pdf-2503.04775" aria-labelledby="pdf-2503.04775">pdf</a>, <a href="/format/2503.04775" title="Other formats" id="oth-2503.04775" aria-labelledby="oth-2503.04775">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bhirkuti's Relative Efficiency (BRE): Examining in Psychometric Simulations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bhusal,+A">Aneel Bhusal</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Little,+T+D">Todd D. Little</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2503.05533" title="Abstract" id="2503.05533"> arXiv:2503.05533 </a> (cross-list from math.NA) [<a href="/pdf/2503.05533" title="Download PDF" id="pdf-2503.05533" aria-labelledby="pdf-2503.05533">pdf</a>, <a href="https://arxiv.org/html/2503.05533v2" title="View HTML" id="html-2503.05533" aria-labelledby="html-2503.05533" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.05533" title="Other formats" id="oth-2503.05533" aria-labelledby="oth-2503.05533">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exploiting Inexact Computations in Multilevel Sampling Methods </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Mart%C3%ADnek,+J">Josef Mart铆nek</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Carson,+E">Erin Carson</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Scheichl,+R">Robert Scheichl</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Numerical Analysis (math.NA)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2503.05906" title="Abstract" id="2503.05906"> arXiv:2503.05906 </a> (cross-list from quant-ph) [<a href="/pdf/2503.05906" title="Download PDF" id="pdf-2503.05906" aria-labelledby="pdf-2503.05906">pdf</a>, <a href="https://arxiv.org/html/2503.05906v2" title="View HTML" id="html-2503.05906" aria-labelledby="html-2503.05906" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.05906" title="Other formats" id="oth-2503.05906" aria-labelledby="oth-2503.05906">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bypassing orthogonalization in the quantum DPP sampler </div> <div class='list-authors'><a href="https://arxiv.org/search/quant-ph?searchtype=author&query=Fanuel,+M">Micha毛l Fanuel</a>, <a href="https://arxiv.org/search/quant-ph?searchtype=author&query=Bardenet,+R">R茅mi Bardenet</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 44 pages, 16 figures. Minor corrections and details about the sketching cost </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Quantum Physics (quant-ph)</span>; Machine Learning (cs.LG); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2503.05985" title="Abstract" id="2503.05985"> arXiv:2503.05985 </a> (cross-list from cs.LG) [<a href="/pdf/2503.05985" title="Download PDF" id="pdf-2503.05985" aria-labelledby="pdf-2503.05985">pdf</a>, <a href="https://arxiv.org/html/2503.05985v1" title="View HTML" id="html-2503.05985" aria-labelledby="html-2503.05985" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.05985" title="Other formats" id="oth-2503.05985" aria-labelledby="oth-2503.05985">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Black Box Causal Inference: Effect Estimation via Meta Prediction </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bynum,+L+E">Lucius E.J. Bynum</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Puli,+A+M">Aahlad Manas Puli</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Herrero-Quevedo,+D">Diego Herrero-Quevedo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nguyen,+N">Nhi Nguyen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fernandez-Granda,+C">Carlos Fernandez-Granda</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cho,+K">Kyunghyun Cho</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ranganath,+R">Rajesh Ranganath</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Computation (stat.CO); Methodology (stat.ME); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2503.06290" title="Abstract" id="2503.06290"> arXiv:2503.06290 </a> (cross-list from stat.AP) [<a href="/pdf/2503.06290" title="Download PDF" id="pdf-2503.06290" aria-labelledby="pdf-2503.06290">pdf</a>, <a href="https://arxiv.org/html/2503.06290v1" title="View HTML" id="html-2503.06290" aria-labelledby="html-2503.06290" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.06290" title="Other formats" id="oth-2503.06290" aria-labelledby="oth-2503.06290">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Analysis of Patterns in Recorded Signals of Software Systems With a Variance Based Segmentation Algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Luki%C4%87,+B">Bojan Luki膰</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Knust,+T">Thorben Knust</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rausch,+A">Andreas Rausch</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 11 figures, private research </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2503.06393" title="Abstract" id="2503.06393"> arXiv:2503.06393 </a> (cross-list from nlin.CD) [<a href="/pdf/2503.06393" title="Download PDF" id="pdf-2503.06393" aria-labelledby="pdf-2503.06393">pdf</a>, <a href="https://arxiv.org/html/2503.06393v1" title="View HTML" id="html-2503.06393" aria-labelledby="html-2503.06393" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.06393" title="Other formats" id="oth-2503.06393" aria-labelledby="oth-2503.06393">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Landscape computations for the edge of chaos in nonlinear dynamical systems </div> <div class='list-authors'><a href="https://arxiv.org/search/nlin?searchtype=author&query=Nakata,+M">Motoki Nakata</a>, <a href="https://arxiv.org/search/nlin?searchtype=author&query=Imaizumi,+M">Masaaki Imaizumi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 9 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Chaotic Dynamics (nlin.CD)</span>; Disordered Systems and Neural Networks (cond-mat.dis-nn); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2503.07775" title="Abstract" id="2503.07775"> arXiv:2503.07775 </a> (cross-list from cs.LG) [<a href="/pdf/2503.07775" title="Download PDF" id="pdf-2503.07775" aria-labelledby="pdf-2503.07775">pdf</a>, <a href="https://arxiv.org/html/2503.07775v1" title="View HTML" id="html-2503.07775" aria-labelledby="html-2503.07775" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.07775" title="Other formats" id="oth-2503.07775" aria-labelledby="oth-2503.07775">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Basu,+D">Debabrota Basu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chanda,+D">Debarshi Chanda</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Computers and Society (cs.CY); Data Structures and Algorithms (cs.DS); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2503.08572" title="Abstract" id="2503.08572"> arXiv:2503.08572 </a> (cross-list from nlin.CD) [<a href="/pdf/2503.08572" title="Download PDF" id="pdf-2503.08572" aria-labelledby="pdf-2503.08572">pdf</a>, <a href="https://arxiv.org/html/2503.08572v1" title="View HTML" id="html-2503.08572" aria-labelledby="html-2503.08572" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.08572" title="Other formats" id="oth-2503.08572" aria-labelledby="oth-2503.08572">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Effects of inertia on the asynchronous state of a disordered Kuramoto model </div> <div class='list-authors'><a href="https://arxiv.org/search/nlin?searchtype=author&query=Kati,+Y">Yagmur Kati</a>, <a href="https://arxiv.org/search/nlin?searchtype=author&query=Toenjes,+R">Ralf Toenjes</a>, <a href="https://arxiv.org/search/nlin?searchtype=author&query=Lindner,+B">Benjamin Lindner</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Chaotic Dynamics (nlin.CD)</span>; Mathematical Physics (math-ph); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2503.08756" title="Abstract" id="2503.08756"> arXiv:2503.08756 </a> (cross-list from eess.IV) [<a href="/pdf/2503.08756" title="Download PDF" id="pdf-2503.08756" aria-labelledby="pdf-2503.08756">pdf</a>, <a href="/format/2503.08756" title="Other formats" id="oth-2503.08756" aria-labelledby="oth-2503.08756">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Frequency selection for the diagnostic characterization of human brain tumours </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Arizmendi,+C">Carlos Arizmendi</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Vellido,+A">Alfredo Vellido</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Romero,+E">Enrique Romero</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Image and Video Processing (eess.IV)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2503.08902" title="Abstract" id="2503.08902"> arXiv:2503.08902 </a> (cross-list from stat.ML) [<a href="/pdf/2503.08902" title="Download PDF" id="pdf-2503.08902" aria-labelledby="pdf-2503.08902">pdf</a>, <a href="https://arxiv.org/html/2503.08902v1" title="View HTML" id="html-2503.08902" aria-labelledby="html-2503.08902" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.08902" title="Other formats" id="oth-2503.08902" aria-labelledby="oth-2503.08902">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fazeliasl,+F">Forough Fazeliasl</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+M+M">Michael Minyi Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jiang,+B">Bei Jiang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kong,+L">Linglong Kong</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2503.09541" title="Abstract" id="2503.09541"> arXiv:2503.09541 </a> (cross-list from stat.ML) [<a href="/pdf/2503.09541" title="Download PDF" id="pdf-2503.09541" aria-labelledby="pdf-2503.09541">pdf</a>, <a href="https://arxiv.org/html/2503.09541v1" title="View HTML" id="html-2503.09541" aria-labelledby="html-2503.09541" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.09541" title="Other formats" id="oth-2503.09541" aria-labelledby="oth-2503.09541">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Geng,+J">Jialiang Geng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Michailidis,+G">George Michailidis</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2503.09887" title="Abstract" id="2503.09887"> arXiv:2503.09887 </a> (cross-list from math.PR) [<a href="/pdf/2503.09887" title="Download PDF" id="pdf-2503.09887" aria-labelledby="pdf-2503.09887">pdf</a>, <a href="https://arxiv.org/html/2503.09887v1" title="View HTML" id="html-2503.09887" aria-labelledby="html-2503.09887" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.09887" title="Other formats" id="oth-2503.09887" aria-labelledby="oth-2503.09887">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the contraction properties of Sinkhorn semigroups </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Akyildiz,+O+D">O. Deniz Akyildiz</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=del+Moral,+P">Pierre del Moral</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Miguez,+J">Joaquin Miguez</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Probability (math.PR)</span>; Computation (stat.CO); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2503.10279" title="Abstract" id="2503.10279"> arXiv:2503.10279 </a> (cross-list from stat.ME) [<a href="/pdf/2503.10279" title="Download PDF" id="pdf-2503.10279" aria-labelledby="pdf-2503.10279">pdf</a>, <a href="https://arxiv.org/html/2503.10279v1" title="View HTML" id="html-2503.10279" aria-labelledby="html-2503.10279" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10279" title="Other formats" id="oth-2503.10279" aria-labelledby="oth-2503.10279">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Numerically robust Gaussian state estimation with singular observation noise </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kr%C3%A4mer,+N">Nicholas Kr盲mer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tronarp,+F">Filip Tronarp</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG); Numerical Analysis (math.NA); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2503.10496" title="Abstract" id="2503.10496"> arXiv:2503.10496 </a> (cross-list from stat.ML) [<a href="/pdf/2503.10496" title="Download PDF" id="pdf-2503.10496" aria-labelledby="pdf-2503.10496">pdf</a>, <a href="https://arxiv.org/html/2503.10496v1" title="View HTML" id="html-2503.10496" aria-labelledby="html-2503.10496" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10496" title="Other formats" id="oth-2503.10496" aria-labelledby="oth-2503.10496">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=H%C3%B8yheim,+E">Eirik H酶yheim</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Skaaret-Lund,+L">Lars Skaaret-Lund</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=S%C3%A6b%C3%B8,+S">Solve S忙b酶</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hubin,+A">Aliaksandr Hubin</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 44 pages, 19 tables, 25 figures. Code available at <a href="https://github.com/eirihoyh/ISLaB-LBBNN" 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>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Computation (stat.CO); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2503.11128" title="Abstract" id="2503.11128"> arXiv:2503.11128 </a> (cross-list from math.ST) [<a href="/pdf/2503.11128" title="Download PDF" id="pdf-2503.11128" aria-labelledby="pdf-2503.11128">pdf</a>, <a href="/format/2503.11128" title="Other formats" id="oth-2503.11128" aria-labelledby="oth-2503.11128">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The pushed beta distribution and contaminated binary sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=O'Neill,+B">Ben O'Neill</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2503.11250" title="Abstract" id="2503.11250"> arXiv:2503.11250 </a> (cross-list from stat.ML) [<a href="/pdf/2503.11250" title="Download PDF" id="pdf-2503.11250" aria-labelledby="pdf-2503.11250">pdf</a>, <a href="https://arxiv.org/html/2503.11250v1" title="View HTML" id="html-2503.11250" aria-labelledby="html-2503.11250" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11250" title="Other formats" id="oth-2503.11250" aria-labelledby="oth-2503.11250">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> CRPS-Based Targeted Sequential Design with Application in Chemical Space </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Friedli,+L">Lea Friedli</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gautier,+A">Ath茅na茂s Gautier</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Broccard,+A">Anna Broccard</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ginsbourger,+D">David Ginsbourger</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2503.11268" title="Abstract" id="2503.11268"> arXiv:2503.11268 </a> (cross-list from stat.ME) [<a href="/pdf/2503.11268" title="Download PDF" id="pdf-2503.11268" aria-labelledby="pdf-2503.11268">pdf</a>, <a href="https://arxiv.org/html/2503.11268v1" title="View HTML" id="html-2503.11268" aria-labelledby="html-2503.11268" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11268" title="Other formats" id="oth-2503.11268" aria-labelledby="oth-2503.11268">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Rank estimation for the accelerated failure time model with partially interval-censored data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Choi,+T">Taehwa Choi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Choi,+S">Sangbum Choi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bandyopadhyay,+D">Dipankar Bandyopadhyay</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2503.11669" title="Abstract" id="2503.11669"> arXiv:2503.11669 </a> (cross-list from math.HO) [<a href="/pdf/2503.11669" title="Download PDF" id="pdf-2503.11669" aria-labelledby="pdf-2503.11669">pdf</a>, <a href="https://arxiv.org/html/2503.11669v1" title="View HTML" id="html-2503.11669" aria-labelledby="html-2503.11669" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11669" title="Other formats" id="oth-2503.11669" aria-labelledby="oth-2503.11669">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fast Algorithm for Calculating Probability of Chess Winning Streaks </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Diao,+G">Guoqing Diao</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">History and Overview (math.HO)</span>; Probability (math.PR); Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2503.12315" title="Abstract" id="2503.12315"> arXiv:2503.12315 </a> (cross-list from stat.ME) [<a href="/pdf/2503.12315" title="Download PDF" id="pdf-2503.12315" aria-labelledby="pdf-2503.12315">pdf</a>, <a href="https://arxiv.org/html/2503.12315v1" title="View HTML" id="html-2503.12315" aria-labelledby="html-2503.12315" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12315" title="Other formats" id="oth-2503.12315" aria-labelledby="oth-2503.12315">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Simulation-based Bayesian inference under model misspecification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kelly,+R+P">Ryan P. Kelly</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Warne,+D+J">David J. Warne</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Frazier,+D+T">David T. Frazier</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nott,+D+J">David J. Nott</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gutmann,+M+U">Michael U. Gutmann</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Drovandi,+C">Christopher Drovandi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 46 pages, 8 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG); Computation (stat.CO); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2503.12351" title="Abstract" id="2503.12351"> arXiv:2503.12351 </a> (cross-list from stat.AP) [<a href="/pdf/2503.12351" title="Download PDF" id="pdf-2503.12351" aria-labelledby="pdf-2503.12351">pdf</a>, <a href="/format/2503.12351" title="Other formats" id="oth-2503.12351" aria-labelledby="oth-2503.12351">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Community Detection Analysis of Spatial Transcriptomics Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+C">Charles Zhao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Garcia-Recio,+S">Susana Garcia-Recio</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Felsheim,+B+M">Brooke M. Felsheim</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2503.12454" title="Abstract" id="2503.12454"> arXiv:2503.12454 </a> (cross-list from cs.LG) [<a href="/pdf/2503.12454" title="Download PDF" id="pdf-2503.12454" aria-labelledby="pdf-2503.12454">pdf</a>, <a href="https://arxiv.org/html/2503.12454v1" title="View HTML" id="html-2503.12454" aria-labelledby="html-2503.12454" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12454" title="Other formats" id="oth-2503.12454" aria-labelledby="oth-2503.12454">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Convergence Analysis of alpha-SVRG under Strong Convexity </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Xiao,+S">Sean Xiao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Park,+S">Sangwoo Park</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Vlaski,+S">Stefan Vlaski</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ICASSP 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Computation (stat.CO); Machine Learning (stat.ML) </div> </div> </dd> </dl> <div class='paging'>Total of 69 entries : <span>1-50</span> <a href=/list/stat.CO/current?skip=50&show=50>51-69</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat.CO/current?skip=0&show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <a href=/list/stat.CO/current?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; line-height: 2;"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg> <a href="https://info.arxiv.org/help/contact.html"> Contact</a> </li> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>subscribe to arXiv mailings</title><desc>Click here to subscribe</desc><path d="M476 3.2L12.5 270.6c-18.1 10.4-15.8 35.6 2.2 43.2L121 358.4l287.3-253.2c5.5-4.9 13.3 2.6 8.6 8.3L176 407v80.5c0 23.6 28.5 32.9 42.5 15.8L282 426l124.6 52.2c14.2 6 30.4-2.9 33-18.2l72-432C515 7.8 493.3-6.8 476 3.2z"/></svg> <a href="https://info.arxiv.org/help/subscribe"> Subscribe</a> </li> </ul> </div> </div> </div>   <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li><a href="https://info.arxiv.org/help/license/index.html">Copyright</a></li> <li><a href="https://info.arxiv.org/help/policies/privacy_policy.html">Privacy Policy</a></li> </ul> </div> <div class="column sorry-app-links"> <ul style="list-style: none; line-height: 2;"> <li><a href="https://info.arxiv.org/help/web_accessibility.html">Web Accessibility Assistance</a></li> <li> <p class="help"> <a class="a11y-main-link" href="https://status.arxiv.org" target="_blank">arXiv Operational Status <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 256 512" class="icon filter-dark_grey" role="presentation"><path d="M224.3 273l-136 136c-9.4 9.4-24.6 9.4-33.9 0l-22.6-22.6c-9.4-9.4-9.4-24.6 0-33.9l96.4-96.4-96.4-96.4c-9.4-9.4-9.4-24.6 0-33.9L54.3 103c9.4-9.4 24.6-9.4 33.9 0l136 136c9.5 9.4 9.5 24.6.1 34z"/></svg></a><br> Get status notifications via <a class="is-link" href="https://subscribe.sorryapp.com/24846f03/email/new" target="_blank"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg>email</a> or <a class="is-link" href="https://subscribe.sorryapp.com/24846f03/slack/new" target="_blank"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" class="icon filter-black" role="presentation"><path d="M94.12 315.1c0 25.9-21.16 47.06-47.06 47.06S0 341 0 315.1c0-25.9 21.16-47.06 47.06-47.06h47.06v47.06zm23.72 0c0-25.9 21.16-47.06 47.06-47.06s47.06 21.16 47.06 47.06v117.84c0 25.9-21.16 47.06-47.06 47.06s-47.06-21.16-47.06-47.06V315.1zm47.06-188.98c-25.9 0-47.06-21.16-47.06-47.06S139 32 164.9 32s47.06 21.16 47.06 47.06v47.06H164.9zm0 23.72c25.9 0 47.06 21.16 47.06 47.06s-21.16 47.06-47.06 47.06H47.06C21.16 243.96 0 222.8 0 196.9s21.16-47.06 47.06-47.06H164.9zm188.98 47.06c0-25.9 21.16-47.06 47.06-47.06 25.9 0 47.06 21.16 47.06 47.06s-21.16 47.06-47.06 47.06h-47.06V196.9zm-23.72 0c0 25.9-21.16 47.06-47.06 47.06-25.9 0-47.06-21.16-47.06-47.06V79.06c0-25.9 21.16-47.06 47.06-47.06 25.9 0 47.06 21.16 47.06 47.06V196.9zM283.1 385.88c25.9 0 47.06 21.16 47.06 47.06 0 25.9-21.16 47.06-47.06 47.06-25.9 0-47.06-21.16-47.06-47.06v-47.06h47.06zm0-23.72c-25.9 0-47.06-21.16-47.06-47.06 0-25.9 21.16-47.06 47.06-47.06h117.84c25.9 0 47.06 21.16 47.06 47.06 0 25.9-21.16 47.06-47.06 47.06H283.1z"/></svg>slack</a> </p> </li> </ul> </div> </div> </div>   </div> </footer> </div> <script src="/static/base/1.0.1/js/member_acknowledgement.js"></script> </body> </html>

CINXE.COM

Computation Mar 2025