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Statistics Mar 2025
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class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/current?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/current?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/current?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2503.00002" title="Abstract" id="2503.00002"> arXiv:2503.00002 </a> [<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='item2'>[2]</a> <a href ="/abs/2503.00014" title="Abstract" id="2503.00014"> arXiv:2503.00014 </a> [<a href="/pdf/2503.00014" title="Download PDF" id="pdf-2503.00014" aria-labelledby="pdf-2503.00014">pdf</a>, <a href="https://arxiv.org/html/2503.00014v1" title="View HTML" id="html-2503.00014" aria-labelledby="html-2503.00014" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00014" title="Other formats" id="oth-2503.00014" aria-labelledby="oth-2503.00014">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> LSD of the Commutator of two data Matrices </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Hazarika,+J">Javed Hazarika</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Paul,+D">Debashis Paul</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> arXiv admin note: substantial text overlap with <a href="https://arxiv.org/abs/2409.16780" data-arxiv-id="2409.16780" class="link-https">arXiv:2409.16780</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2503.00178" title="Abstract" id="2503.00178"> arXiv:2503.00178 </a> [<a href="/pdf/2503.00178" title="Download PDF" id="pdf-2503.00178" aria-labelledby="pdf-2503.00178">pdf</a>, <a href="https://arxiv.org/html/2503.00178v1" title="View HTML" id="html-2503.00178" aria-labelledby="html-2503.00178" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00178" title="Other formats" id="oth-2503.00178" aria-labelledby="oth-2503.00178">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Aspects of a Generalized Theory of Sparsity based Inference in Linear Inverse Problems </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=O'Dowd,+R">Ryan O'Dowd</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Raj,+R+G">Raghu G. Raj</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Mhaskar,+H+N">Hrushikesh N. Mhaskar</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='item4'>[4]</a> <a href ="/abs/2503.00213" title="Abstract" id="2503.00213"> arXiv:2503.00213 </a> [<a href="/pdf/2503.00213" title="Download PDF" id="pdf-2503.00213" aria-labelledby="pdf-2503.00213">pdf</a>, <a href="https://arxiv.org/html/2503.00213v1" title="View HTML" id="html-2503.00213" aria-labelledby="html-2503.00213" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00213" title="Other formats" id="oth-2503.00213" aria-labelledby="oth-2503.00213">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Alberts,+A">Alex Alberts</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bilionis,+I">Ilias Bilionis</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 43 pages, 2 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Computational Physics (physics.comp-ph) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2503.00220" title="Abstract" id="2503.00220"> arXiv:2503.00220 </a> [<a href="/pdf/2503.00220" title="Download PDF" id="pdf-2503.00220" aria-labelledby="pdf-2503.00220">pdf</a>, <a href="https://arxiv.org/html/2503.00220v1" title="View HTML" id="html-2503.00220" aria-labelledby="html-2503.00220" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00220" title="Other formats" id="oth-2503.00220" aria-labelledby="oth-2503.00220">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Few Observations on Sample-Conditional Coverage in Conformal Prediction </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Duchi,+J+C">John C. Duchi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages, 3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item6'>[6]</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='item7'>[7]</a> <a href ="/abs/2503.00251" title="Abstract" id="2503.00251"> arXiv:2503.00251 </a> [<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='item8'>[8]</a> <a href ="/abs/2503.00254" title="Abstract" id="2503.00254"> arXiv:2503.00254 </a> [<a href="/pdf/2503.00254" title="Download PDF" id="pdf-2503.00254" aria-labelledby="pdf-2503.00254">pdf</a>, <a href="https://arxiv.org/html/2503.00254v1" title="View HTML" id="html-2503.00254" aria-labelledby="html-2503.00254" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00254" title="Other formats" id="oth-2503.00254" aria-labelledby="oth-2503.00254">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Heteroscedastic Growth Curve Modeling with Shape-Restricted Splines </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Jiao,+J">Jieying Jiao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Song,+W">Wenling Song</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xue,+Y">Yishu Xue</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yan,+J">Jun Yan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 6 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> The New England Journal of Statistics in Data Science, 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2503.00273" title="Abstract" id="2503.00273"> arXiv:2503.00273 </a> [<a href="/pdf/2503.00273" title="Download PDF" id="pdf-2503.00273" aria-labelledby="pdf-2503.00273">pdf</a>, <a href="https://arxiv.org/html/2503.00273v1" title="View HTML" id="html-2503.00273" aria-labelledby="html-2503.00273" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00273" title="Other formats" id="oth-2503.00273" aria-labelledby="oth-2503.00273">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gu,+Y">Yuzhou Gu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Han,+Y">Yanjun Han</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Qian,+J">Jian Qian</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Information Theory (cs.IT); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2503.00292" title="Abstract" id="2503.00292"> arXiv:2503.00292 </a> [<a href="/pdf/2503.00292" title="Download PDF" id="pdf-2503.00292" aria-labelledby="pdf-2503.00292">pdf</a>, <a href="https://arxiv.org/html/2503.00292v1" title="View HTML" id="html-2503.00292" aria-labelledby="html-2503.00292" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00292" title="Other formats" id="oth-2503.00292" aria-labelledby="oth-2503.00292">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generalization Bounds for Equivariant Networks on Markov Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+H">Hui Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+Z">Zhiguo Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+B">Bohui Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sheng,+L">Li Sheng</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submitted for possible publication </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='item11'>[11]</a> <a href ="/abs/2503.00314" title="Abstract" id="2503.00314"> arXiv:2503.00314 </a> [<a href="/pdf/2503.00314" title="Download PDF" id="pdf-2503.00314" aria-labelledby="pdf-2503.00314">pdf</a>, <a href="https://arxiv.org/html/2503.00314v1" title="View HTML" id="html-2503.00314" aria-labelledby="html-2503.00314" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00314" title="Other formats" id="oth-2503.00314" aria-labelledby="oth-2503.00314">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Xu,+N">Ning Xu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Foster,+C+M">Christopher M. Foster</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Manton,+J+H">Jonathan H. Manton</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted for presentation at IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2503.00326" title="Abstract" id="2503.00326"> arXiv:2503.00326 </a> [<a href="/pdf/2503.00326" title="Download PDF" id="pdf-2503.00326" aria-labelledby="pdf-2503.00326">pdf</a>, <a href="https://arxiv.org/html/2503.00326v1" title="View HTML" id="html-2503.00326" aria-labelledby="html-2503.00326" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00326" title="Other formats" id="oth-2503.00326" aria-labelledby="oth-2503.00326">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Alcantara,+R">Rafael Alcantara</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hahn,+P+R">P. Richard Hahn</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Carvalho,+C">Carlos Carvalho</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lopes,+H">Hedibert Lopes</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2503.00327" title="Abstract" id="2503.00327"> arXiv:2503.00327 </a> [<a href="/pdf/2503.00327" title="Download PDF" id="pdf-2503.00327" aria-labelledby="pdf-2503.00327">pdf</a>, <a href="/format/2503.00327" title="Other formats" id="oth-2503.00327" aria-labelledby="oth-2503.00327">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Optimization for Intrinsically Noisy Response Surfaces </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=van+Beek,+A">Anton van Beek</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 4 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2503.00352" title="Abstract" id="2503.00352"> arXiv:2503.00352 </a> [<a href="/pdf/2503.00352" title="Download PDF" id="pdf-2503.00352" aria-labelledby="pdf-2503.00352">pdf</a>, <a href="https://arxiv.org/html/2503.00352v1" title="View HTML" id="html-2503.00352" aria-labelledby="html-2503.00352" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00352" title="Other formats" id="oth-2503.00352" aria-labelledby="oth-2503.00352">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Review on Determining the Number of Communities in Network Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Du,+Z">Zhengyuan Du</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Cui,+J">Jason Cui</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2503.00387" title="Abstract" id="2503.00387"> arXiv:2503.00387 </a> [<a href="/pdf/2503.00387" title="Download PDF" id="pdf-2503.00387" aria-labelledby="pdf-2503.00387">pdf</a>, <a href="https://arxiv.org/html/2503.00387v1" title="View HTML" id="html-2503.00387" aria-labelledby="html-2503.00387" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00387" title="Other formats" id="oth-2503.00387" aria-labelledby="oth-2503.00387">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Khosravi,+H">Hamed Khosravi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shafie,+M+R">Mohammad Reza Shafie</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Raihan,+A+S">Ahmed Shoyeb Raihan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Das,+S">Srinjoy Das</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ahmed,+I">Imtiaz Ahmed</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) </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2503.00448" title="Abstract" id="2503.00448"> arXiv:2503.00448 </a> [<a href="/pdf/2503.00448" title="Download PDF" id="pdf-2503.00448" aria-labelledby="pdf-2503.00448">pdf</a>, <a href="https://arxiv.org/html/2503.00448v1" title="View HTML" id="html-2503.00448" aria-labelledby="html-2503.00448" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00448" title="Other formats" id="oth-2503.00448" aria-labelledby="oth-2503.00448">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ch%C3%A9rief-Abdellatif,+B">Badr-Eddine Ch茅rief-Abdellatif</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=N%C3%A4f,+J">Jeffrey N盲f</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='item17'>[17]</a> <a href ="/abs/2503.00465" title="Abstract" id="2503.00465"> arXiv:2503.00465 </a> [<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='item18'>[18]</a> <a href ="/abs/2503.00492" title="Abstract" id="2503.00492"> arXiv:2503.00492 </a> [<a href="/pdf/2503.00492" title="Download PDF" id="pdf-2503.00492" aria-labelledby="pdf-2503.00492">pdf</a>, <a href="https://arxiv.org/html/2503.00492v2" title="View HTML" id="html-2503.00492" aria-labelledby="html-2503.00492" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00492" title="Other formats" id="oth-2503.00492" aria-labelledby="oth-2503.00492">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparametric spectral density estimation from irregularly sampled data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Geoga,+C+J">Christopher J. Geoga</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Beckman,+P+G">Paul G. Beckman</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Numerical Analysis (math.NA) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2503.00504" title="Abstract" id="2503.00504"> arXiv:2503.00504 </a> [<a href="/pdf/2503.00504" title="Download PDF" id="pdf-2503.00504" aria-labelledby="pdf-2503.00504">pdf</a>, <a href="https://arxiv.org/html/2503.00504v1" title="View HTML" id="html-2503.00504" aria-labelledby="html-2503.00504" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00504" title="Other formats" id="oth-2503.00504" aria-labelledby="oth-2503.00504">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the Saturation Effects of Spectral Algorithms in Large Dimensions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Lu,+W">Weihao Lu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+H">Haobo Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Y">Yicheng Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lin,+Q">Qian Lin</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='item20'>[20]</a> <a href ="/abs/2503.00530" title="Abstract" id="2503.00530"> arXiv:2503.00530 </a> [<a href="/pdf/2503.00530" title="Download PDF" id="pdf-2503.00530" aria-labelledby="pdf-2503.00530">pdf</a>, <a href="https://arxiv.org/html/2503.00530v1" title="View HTML" id="html-2503.00530" aria-labelledby="html-2503.00530" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00530" title="Other formats" id="oth-2503.00530" aria-labelledby="oth-2503.00530">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Trajectory Inference with Smooth Schr枚dinger Bridges </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hong,+W">Wanli Hong</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shi,+Y">Yuliang Shi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Niles-Weed,+J">Jonathan Niles-Weed</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='item21'>[21]</a> <a href ="/abs/2503.00538" title="Abstract" id="2503.00538"> arXiv:2503.00538 </a> [<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='item22'>[22]</a> <a href ="/abs/2503.00565" title="Abstract" id="2503.00565"> arXiv:2503.00565 </a> [<a href="/pdf/2503.00565" title="Download PDF" id="pdf-2503.00565" aria-labelledby="pdf-2503.00565">pdf</a>, <a href="/format/2503.00565" title="Other formats" id="oth-2503.00565" aria-labelledby="oth-2503.00565">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Semi-Parametric Batched Global Multi-Armed Bandits with Covariates </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Arya,+S">Sakshi Arya</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Song,+H">Hyebin Song</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2503.00640" title="Abstract" id="2503.00640"> arXiv:2503.00640 </a> [<a href="/pdf/2503.00640" title="Download PDF" id="pdf-2503.00640" aria-labelledby="pdf-2503.00640">pdf</a>, <a href="/format/2503.00640" title="Other formats" id="oth-2503.00640" aria-labelledby="oth-2503.00640">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fan,+J">Jianqing Fan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Fan,+Y">Yingying Fan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lv,+J">Jinchi Lv</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+F">Fan Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yu,+D">Diwen Yu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 104 pages, 12 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Information Theory (cs.IT); Machine Learning (cs.LG); Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2503.00690" title="Abstract" id="2503.00690"> arXiv:2503.00690 </a> [<a href="/pdf/2503.00690" title="Download PDF" id="pdf-2503.00690" aria-labelledby="pdf-2503.00690">pdf</a>, <a href="https://arxiv.org/html/2503.00690v2" title="View HTML" id="html-2503.00690" aria-labelledby="html-2503.00690" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00690" title="Other formats" id="oth-2503.00690" aria-labelledby="oth-2503.00690">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bias in Gini coefficient estimation for gamma mixture populations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Vila,+R">Roberto Vila</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Saulo,+H">Helton Saulo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 15 pages, 3 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='item25'>[25]</a> <a href ="/abs/2503.00716" title="Abstract" id="2503.00716"> arXiv:2503.00716 </a> [<a href="/pdf/2503.00716" title="Download PDF" id="pdf-2503.00716" aria-labelledby="pdf-2503.00716">pdf</a>, <a href="https://arxiv.org/html/2503.00716v1" title="View HTML" id="html-2503.00716" aria-labelledby="html-2503.00716" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00716" title="Other formats" id="oth-2503.00716" aria-labelledby="oth-2503.00716">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Quantile Residual Lifetime Regression for Multivariate Failure Time Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yu,+T">Tonghui Yu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xiang,+L">Liming Xiang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jeong,+J">Jong-Hyeon Jeong</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='item26'>[26]</a> <a href ="/abs/2503.00730" title="Abstract" id="2503.00730"> arXiv:2503.00730 </a> [<a href="/pdf/2503.00730" title="Download PDF" id="pdf-2503.00730" aria-labelledby="pdf-2503.00730">pdf</a>, <a href="https://arxiv.org/html/2503.00730v1" title="View HTML" id="html-2503.00730" aria-labelledby="html-2503.00730" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00730" title="Other formats" id="oth-2503.00730" aria-labelledby="oth-2503.00730">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Time-Varying Causal Survival Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Meng,+X">Xiang Meng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bojinov,+I">Iavor Bojinov</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages main text, 19 pages appendix + reference, 4 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='item27'>[27]</a> <a href ="/abs/2503.00815" title="Abstract" id="2503.00815"> arXiv:2503.00815 </a> [<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='item28'>[28]</a> <a href ="/abs/2503.00818" title="Abstract" id="2503.00818"> arXiv:2503.00818 </a> [<a href="/pdf/2503.00818" title="Download PDF" id="pdf-2503.00818" aria-labelledby="pdf-2503.00818">pdf</a>, <a href="/format/2503.00818" title="Other formats" id="oth-2503.00818" aria-labelledby="oth-2503.00818">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Strategic decision points in experiments: A predictive Bayesian optional stopping method </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=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">Methodology (stat.ME)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2503.00856" title="Abstract" id="2503.00856"> arXiv:2503.00856 </a> [<a href="/pdf/2503.00856" title="Download PDF" id="pdf-2503.00856" aria-labelledby="pdf-2503.00856">pdf</a>, <a href="https://arxiv.org/html/2503.00856v2" title="View HTML" id="html-2503.00856" aria-labelledby="html-2503.00856" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00856" title="Other formats" id="oth-2503.00856" aria-labelledby="oth-2503.00856">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Demir,+S">Samet Demir</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dogan,+Z">Zafer Dogan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ICLR 2025, 27 pages, 9 figures </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/2503.00924" title="Abstract" id="2503.00924"> arXiv:2503.00924 </a> [<a href="/pdf/2503.00924" title="Download PDF" id="pdf-2503.00924" aria-labelledby="pdf-2503.00924">pdf</a>, <a href="https://arxiv.org/html/2503.00924v1" title="View HTML" id="html-2503.00924" aria-labelledby="html-2503.00924" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00924" title="Other formats" id="oth-2503.00924" aria-labelledby="oth-2503.00924">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PABBO: Preferential Amortized Black-Box Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+X">Xinyu Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+D">Daolang Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kaski,+S">Samuel Kaski</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Martinelli,+J">Julien Martinelli</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 17 figures. Accepted at the Thirteenth International Conference on Learning Representations (ICLR 2025) </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='item31'>[31]</a> <a href ="/abs/2503.00942" title="Abstract" id="2503.00942"> arXiv:2503.00942 </a> [<a href="/pdf/2503.00942" title="Download PDF" id="pdf-2503.00942" aria-labelledby="pdf-2503.00942">pdf</a>, <a href="https://arxiv.org/html/2503.00942v1" title="View HTML" id="html-2503.00942" aria-labelledby="html-2503.00942" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00942" title="Other formats" id="oth-2503.00942" aria-labelledby="oth-2503.00942">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the use of the principle of maximum entropy in bivariate splines least-squares approximation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Amodio,+P">Pierluigi Amodio</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Brugnano,+L">Luigi Brugnano</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Iavernaro,+F">Felice Iavernaro</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 pages, 23 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Numerical Analysis (math.NA) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2503.00982" title="Abstract" id="2503.00982"> arXiv:2503.00982 </a> [<a href="/pdf/2503.00982" title="Download PDF" id="pdf-2503.00982" aria-labelledby="pdf-2503.00982">pdf</a>, <a href="https://arxiv.org/html/2503.00982v1" title="View HTML" id="html-2503.00982" aria-labelledby="html-2503.00982" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00982" title="Other formats" id="oth-2503.00982" aria-labelledby="oth-2503.00982">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ward,+C">Caitlin Ward</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Deardon,+R">Rob Deardon</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Schmidt,+A+M">Alexandra M. Schmidt</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages, 8 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Physics and Society (physics.soc-ph) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2503.01024" title="Abstract" id="2503.01024"> arXiv:2503.01024 </a> [<a href="/pdf/2503.01024" title="Download PDF" id="pdf-2503.01024" aria-labelledby="pdf-2503.01024">pdf</a>, <a href="https://arxiv.org/html/2503.01024v1" title="View HTML" id="html-2503.01024" aria-labelledby="html-2503.01024" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01024" title="Other formats" id="oth-2503.01024" aria-labelledby="oth-2503.01024">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Testing for Repeated Motifs and Hierarchical Structure in Stochastic Blockmodels </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Al-Qadhi,+A">Al-Fahad Al-Qadhi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Levin,+K">Keith Levin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lyzinski,+V">Vincent Lyzinski</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/2503.01036" title="Abstract" id="2503.01036"> arXiv:2503.01036 </a> [<a href="/pdf/2503.01036" title="Download PDF" id="pdf-2503.01036" aria-labelledby="pdf-2503.01036">pdf</a>, <a href="https://arxiv.org/html/2503.01036v1" title="View HTML" id="html-2503.01036" aria-labelledby="html-2503.01036" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01036" title="Other formats" id="oth-2503.01036" aria-labelledby="oth-2503.01036">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Jalalian,+Y">Yasamin Jalalian</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ramirez,+J+F+O">Juan Felipe Osorio Ramirez</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hsu,+A">Alexander Hsu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hosseini,+B">Bamdad Hosseini</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Owhadi,+H">Houman Owhadi</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Numerical Analysis (math.NA) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2503.01054" title="Abstract" id="2503.01054"> arXiv:2503.01054 </a> [<a href="/pdf/2503.01054" title="Download PDF" id="pdf-2503.01054" aria-labelledby="pdf-2503.01054">pdf</a>, <a href="https://arxiv.org/html/2503.01054v1" title="View HTML" id="html-2503.01054" aria-labelledby="html-2503.01054" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01054" title="Other formats" id="oth-2503.01054" aria-labelledby="oth-2503.01054">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Probabilistic Record Linkage of Two Gun Violence Data Sets </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Horng,+I">Iris Horng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yin,+Q">Qishuo Yin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chan,+W">William Chan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Murray,+J">Jared Murray</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Small,+D+S">Dylan S. Small</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='item36'>[36]</a> <a href ="/abs/2503.01065" title="Abstract" id="2503.01065"> arXiv:2503.01065 </a> [<a href="/pdf/2503.01065" title="Download PDF" id="pdf-2503.01065" aria-labelledby="pdf-2503.01065">pdf</a>, <a href="https://arxiv.org/html/2503.01065v1" title="View HTML" id="html-2503.01065" aria-labelledby="html-2503.01065" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01065" title="Other formats" id="oth-2503.01065" aria-labelledby="oth-2503.01065">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Powerful rank verification for multivariate Gaussian data with any covariance structure </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Sood,+A">Anav Sood</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2503.01072" title="Abstract" id="2503.01072"> arXiv:2503.01072 </a> [<a href="/pdf/2503.01072" title="Download PDF" id="pdf-2503.01072" aria-labelledby="pdf-2503.01072">pdf</a>, <a href="https://arxiv.org/html/2503.01072v1" title="View HTML" id="html-2503.01072" aria-labelledby="html-2503.01072" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01072" title="Other formats" id="oth-2503.01072" aria-labelledby="oth-2503.01072">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Vector Copula Variational Inference and Dependent Block Posterior Approximations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fu,+Y">Yu Fu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Smith,+M+S">Michael Stanley Smith</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Panagiotelis,+A">Anastasios Panagiotelis</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Econometrics (econ.EM); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2503.01077" title="Abstract" id="2503.01077"> arXiv:2503.01077 </a> [<a href="/pdf/2503.01077" title="Download PDF" id="pdf-2503.01077" aria-labelledby="pdf-2503.01077">pdf</a>, <a href="https://arxiv.org/html/2503.01077v1" title="View HTML" id="html-2503.01077" aria-labelledby="html-2503.01077" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01077" title="Other formats" id="oth-2503.01077" aria-labelledby="oth-2503.01077">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning Stochastic Dynamical Systems with Structured Noise </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Guo,+Z">Ziheng Guo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Greene,+J">James Greene</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhong,+M">Ming Zhong</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Numerical Analysis (math.NA) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2503.01081" title="Abstract" id="2503.01081"> arXiv:2503.01081 </a> [<a href="/pdf/2503.01081" title="Download PDF" id="pdf-2503.01081" aria-labelledby="pdf-2503.01081">pdf</a>, <a href="/format/2503.01081" title="Other formats" id="oth-2503.01081" aria-labelledby="oth-2503.01081">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Dynamic Factor Model for Multivariate Counting Process Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+F">Fangyi Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ling,+H+K">Hok Kan Ling</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ying,+Z">Zhiliang Ying</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2503.01189" title="Abstract" id="2503.01189"> arXiv:2503.01189 </a> [<a href="/pdf/2503.01189" title="Download PDF" id="pdf-2503.01189" aria-labelledby="pdf-2503.01189">pdf</a>, <a href="https://arxiv.org/html/2503.01189v1" title="View HTML" id="html-2503.01189" aria-labelledby="html-2503.01189" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01189" title="Other formats" id="oth-2503.01189" aria-labelledby="oth-2503.01189">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+K">Kun Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+Y">Yan Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pan,+R">Rui Pan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gao,+T">Tianchen Gao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+H">Hansheng Wang</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/2503.01456" title="Abstract" id="2503.01456"> arXiv:2503.01456 </a> [<a href="/pdf/2503.01456" title="Download PDF" id="pdf-2503.01456" aria-labelledby="pdf-2503.01456">pdf</a>, <a href="https://arxiv.org/html/2503.01456v1" title="View HTML" id="html-2503.01456" aria-labelledby="html-2503.01456" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01456" title="Other formats" id="oth-2503.01456" aria-labelledby="oth-2503.01456">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian spatio-temporal modelling for infectious disease outbreak detection </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Adeoye,+M">Matthew Adeoye</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Didelot,+X">Xavier Didelot</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Spencer,+S+E">Simon EF Spencer</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='item42'>[42]</a> <a href ="/abs/2503.01495" title="Abstract" id="2503.01495"> arXiv:2503.01495 </a> [<a href="/pdf/2503.01495" title="Download PDF" id="pdf-2503.01495" aria-labelledby="pdf-2503.01495">pdf</a>, <a href="https://arxiv.org/html/2503.01495v1" title="View HTML" id="html-2503.01495" aria-labelledby="html-2503.01495" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01495" title="Other formats" id="oth-2503.01495" aria-labelledby="oth-2503.01495">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improving the statistical efficiency of cross-conformal prediction </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gasparin,+M">Matteo Gasparin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ramdas,+A">Aaditya Ramdas</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) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2503.01509" title="Abstract" id="2503.01509"> arXiv:2503.01509 </a> [<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='item44'>[44]</a> <a href ="/abs/2503.01514" title="Abstract" id="2503.01514"> arXiv:2503.01514 </a> [<a href="/pdf/2503.01514" title="Download PDF" id="pdf-2503.01514" aria-labelledby="pdf-2503.01514">pdf</a>, <a href="https://arxiv.org/html/2503.01514v1" title="View HTML" id="html-2503.01514" aria-labelledby="html-2503.01514" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01514" title="Other formats" id="oth-2503.01514" aria-labelledby="oth-2503.01514">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Generalized Fr茅chet Test for Object Data with Unequal Repeated Measurements </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+J">Jingru Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+S">Shengjie Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jones,+C+W">Christopher W Jones</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Basner,+M">Mathias Basner</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shou,+H">Haochang Shou</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages, 8 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='item45'>[45]</a> <a href ="/abs/2503.01515" title="Abstract" id="2503.01515"> arXiv:2503.01515 </a> [<a href="/pdf/2503.01515" title="Download PDF" id="pdf-2503.01515" aria-labelledby="pdf-2503.01515">pdf</a>, <a href="https://arxiv.org/html/2503.01515v1" title="View HTML" id="html-2503.01515" aria-labelledby="html-2503.01515" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01515" title="Other formats" id="oth-2503.01515" aria-labelledby="oth-2503.01515">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Subgroup learning in functional regression models under the RKHS framework </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Guan,+X">Xin Guan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Y">Yiyuan Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+X">Xu Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=You,+J">Jinhong You</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='item46'>[46]</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='item47'>[47]</a> <a href ="/abs/2503.01568" title="Abstract" id="2503.01568"> arXiv:2503.01568 </a> [<a href="/pdf/2503.01568" title="Download PDF" id="pdf-2503.01568" aria-labelledby="pdf-2503.01568">pdf</a>, <a href="https://arxiv.org/html/2503.01568v1" title="View HTML" id="html-2503.01568" aria-labelledby="html-2503.01568" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01568" title="Other formats" id="oth-2503.01568" aria-labelledby="oth-2503.01568">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A network psychometric analysis of maths anxiety factors in Italian psychology students </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Franchino,+E">Emma Franchino</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ciringione,+L">Luciana Ciringione</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Canal,+L">Luisa Canal</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Epifania,+O+M">Ottavia Marina Epifania</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lombardi,+L">Luigi Lombardi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lattanzi,+G">Gianluca Lattanzi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stella,+M">Massimo Stella</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Computers and Society (cs.CY) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2503.01657" title="Abstract" id="2503.01657"> arXiv:2503.01657 </a> [<a href="/pdf/2503.01657" title="Download PDF" id="pdf-2503.01657" aria-labelledby="pdf-2503.01657">pdf</a>, <a href="https://arxiv.org/html/2503.01657v1" title="View HTML" id="html-2503.01657" aria-labelledby="html-2503.01657" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01657" title="Other formats" id="oth-2503.01657" aria-labelledby="oth-2503.01657">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparanormal Adjusted Marginal Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dandl,+S">Susanne Dandl</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hothorn,+T">Torsten Hothorn</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='item49'>[49]</a> <a href ="/abs/2503.01671" title="Abstract" id="2503.01671"> arXiv:2503.01671 </a> [<a href="/pdf/2503.01671" title="Download PDF" id="pdf-2503.01671" aria-labelledby="pdf-2503.01671">pdf</a>, <a href="https://arxiv.org/html/2503.01671v1" title="View HTML" id="html-2503.01671" aria-labelledby="html-2503.01671" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01671" title="Other formats" id="oth-2503.01671" aria-labelledby="oth-2503.01671">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Diagnostic tools for exploring differences in distributional properties between two samples: nonparametric approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=%C4%86miel,+B">Bogdan 膯miel</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ledwina,+T">Teresa Ledwina</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='item50'>[50]</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> </dl> <div class='paging'>Total of 727 entries : <span>1-50</span> <a href=/list/stat/current?skip=50&show=50>51-100</a> <a href=/list/stat/current?skip=100&show=50>101-150</a> <a href=/list/stat/current?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/current?skip=700&show=50>701-727</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/current?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/current?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/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"> <!-- Macro-Column 1 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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