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</li><li> <a href="/list/stat.ME/recent?skip=62&show=50"> Thu, 13 Mar 2025 </a> </li></ul> <p>See today's <a id="new-stat.ME" aria-labelledby="new-stat.ME" href="/list/stat.ME/new">new</a> changes</p> <div class='paging'>Total of 74 entries : <span>1-50</span> <a href=/list/stat.ME/recent?skip=50&show=50>51-74</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat.ME/recent?skip=0&show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <a href=/list/stat.ME/recent?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <h3>Wed, 19 Mar 2025 (showing 11 of 11 entries )</h3> <dt> <a name='item1'>[1]</a> <a href ="/abs/2503.14374" title="Abstract" id="2503.14374"> arXiv:2503.14374 </a> [<a href="/pdf/2503.14374" title="Download PDF" id="pdf-2503.14374" aria-labelledby="pdf-2503.14374">pdf</a>, <a href="https://arxiv.org/html/2503.14374v1" title="View HTML" id="html-2503.14374" aria-labelledby="html-2503.14374" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14374" title="Other formats" id="oth-2503.14374" aria-labelledby="oth-2503.14374">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Cross-Validation in Penalized Linear Mixed Models: Addressing Common Implementation Pitfalls </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Peter,+T+K">Tabitha K. Peter</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Breheny,+P+J">Patrick J. Breheny</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='item2'>[2]</a> <a href ="/abs/2503.14334" title="Abstract" id="2503.14334"> arXiv:2503.14334 </a> [<a href="/pdf/2503.14334" title="Download PDF" id="pdf-2503.14334" aria-labelledby="pdf-2503.14334">pdf</a>, <a href="https://arxiv.org/html/2503.14334v1" title="View HTML" id="html-2503.14334" aria-labelledby="html-2503.14334" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14334" title="Other formats" id="oth-2503.14334" aria-labelledby="oth-2503.14334">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Sepulveda-Pe%C3%B1aloza,+A">Alejandro Sepulveda-Pe帽aloza</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Beaudry,+I+S">Isabelle S. Beaudry</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This paper contains 25 pages and 4 figures. This work has not yet been submitted for publication elsewhere </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='item3'>[3]</a> <a href ="/abs/2503.14177" title="Abstract" id="2503.14177"> arXiv:2503.14177 </a> [<a href="/pdf/2503.14177" title="Download PDF" id="pdf-2503.14177" aria-labelledby="pdf-2503.14177">pdf</a>, <a href="https://arxiv.org/html/2503.14177v1" title="View HTML" id="html-2503.14177" aria-labelledby="html-2503.14177" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14177" title="Other formats" id="oth-2503.14177" aria-labelledby="oth-2503.14177">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distributions and Direct Parametrization for Stable Stochastic State-Space Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ahdab,+M+A">Mohamad Al Ahdab</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tan,+Z">Zheng-Hua Tan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Leth,+J">John Leth</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Systems and Control (eess.SY) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2503.13782" title="Abstract" id="2503.13782"> arXiv:2503.13782 </a> [<a href="/pdf/2503.13782" title="Download PDF" id="pdf-2503.13782" aria-labelledby="pdf-2503.13782">pdf</a>, <a href="https://arxiv.org/html/2503.13782v1" title="View HTML" id="html-2503.13782" aria-labelledby="html-2503.13782" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13782" title="Other formats" id="oth-2503.13782" aria-labelledby="oth-2503.13782">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Regularized Parameter Estimation in Mixed Model Trace Regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hultman,+I">Ian Hultman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sanvesh">Sanvesh Srivastava</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 40 pages, 3 figures, and 7 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='item5'>[5]</a> <a href ="/abs/2503.13759" title="Abstract" id="2503.13759"> arXiv:2503.13759 </a> [<a href="/pdf/2503.13759" title="Download PDF" id="pdf-2503.13759" aria-labelledby="pdf-2503.13759">pdf</a>, <a href="https://arxiv.org/html/2503.13759v1" title="View HTML" id="html-2503.13759" aria-labelledby="html-2503.13759" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13759" title="Other formats" id="oth-2503.13759" aria-labelledby="oth-2503.13759">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Minnesota BART </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Lima,+P+A">Pedro A. Lima</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Carvalho,+C+M">Carlos M. Carvalho</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lopes,+H+F">Hedibert F. Lopes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Herren,+A">Andrew Herren</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Econometrics (econ.EM) </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2503.13689" title="Abstract" id="2503.13689"> arXiv:2503.13689 </a> [<a href="/pdf/2503.13689" title="Download PDF" id="pdf-2503.13689" aria-labelledby="pdf-2503.13689">pdf</a>, <a href="https://arxiv.org/html/2503.13689v1" title="View HTML" id="html-2503.13689" aria-labelledby="html-2503.13689" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13689" title="Other formats" id="oth-2503.13689" aria-labelledby="oth-2503.13689">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exact statistical tests using integer programming: Leveraging an overlooked approach for maximizing power for differences between binomial proportions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Baas,+S">Stef Baas</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Racah,+Y">Yaron Racah</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Berkman,+E">Elad Berkman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Villar,+S+S">Sof铆a S. Villar</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages, 2 figures, 4 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/2503.14459" title="Abstract" id="2503.14459"> arXiv:2503.14459 </a> (cross-list from stat.ML) [<a href="/pdf/2503.14459" title="Download PDF" id="pdf-2503.14459" aria-labelledby="pdf-2503.14459">pdf</a>, <a href="https://arxiv.org/html/2503.14459v1" title="View HTML" id="html-2503.14459" aria-labelledby="html-2503.14459" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14459" title="Other formats" id="oth-2503.14459" aria-labelledby="oth-2503.14459">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Doubly robust identification of treatment effects from multiple environments </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=De+Bartolomeis,+P">Piersilvio De Bartolomeis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kostin,+J">Julia Kostin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Abad,+J">Javier Abad</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+Y">Yixin Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+F">Fanny Yang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted for presentation at the 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); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2503.14381" title="Abstract" id="2503.14381"> arXiv:2503.14381 </a> (cross-list from stat.ML) [<a href="/pdf/2503.14381" title="Download PDF" id="pdf-2503.14381" aria-labelledby="pdf-2503.14381">pdf</a>, <a href="/format/2503.14381" title="Other formats" id="oth-2503.14381" aria-labelledby="oth-2503.14381">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimizing High-Dimensional Oblique Splits </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chi,+C">Chien-Ming Chi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 79 pages, 9 tables </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='item9'>[9]</a> <a href ="/abs/2503.14311" title="Abstract" id="2503.14311"> arXiv:2503.14311 </a> (cross-list from math.ST) [<a href="/pdf/2503.14311" title="Download PDF" id="pdf-2503.14311" aria-labelledby="pdf-2503.14311">pdf</a>, <a href="https://arxiv.org/html/2503.14311v1" title="View HTML" id="html-2503.14311" aria-labelledby="html-2503.14311" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14311" title="Other formats" id="oth-2503.14311" aria-labelledby="oth-2503.14311">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Asymptotic properties of the MLE in distributional regression under random censoring </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Kremling,+G">Gitte Kremling</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Dikta,+G">Gerhard Dikta</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2503.13950" title="Abstract" id="2503.13950"> arXiv:2503.13950 </a> (cross-list from econ.EM) [<a href="/pdf/2503.13950" title="Download PDF" id="pdf-2503.13950" aria-labelledby="pdf-2503.13950">pdf</a>, <a href="https://arxiv.org/html/2503.13950v1" title="View HTML" id="html-2503.13950" aria-labelledby="html-2503.13950" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13950" title="Other formats" id="oth-2503.13950" aria-labelledby="oth-2503.13950">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Note on the Asymptotic Properties of the GLS Estimator in Multivariate Regression with Heteroskedastic and Autocorrelated Errors </div> <div class='list-authors'><a href="https://arxiv.org/search/econ?searchtype=author&query=Moriya,+K">Koichiro Moriya</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Noda,+A">Akihiko Noda</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 2 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Econometrics (econ.EM)</span>; Statistical Finance (q-fin.ST); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2503.13912" title="Abstract" id="2503.13912"> arXiv:2503.13912 </a> (cross-list from cs.LG) [<a href="/pdf/2503.13912" title="Download PDF" id="pdf-2503.13912" aria-labelledby="pdf-2503.13912">pdf</a>, <a href="https://arxiv.org/html/2503.13912v1" title="View HTML" id="html-2503.13912" aria-labelledby="html-2503.13912" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13912" title="Other formats" id="oth-2503.13912" aria-labelledby="oth-2503.13912">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> KANITE: Kolmogorov-Arnold Networks for ITE estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Mehendale,+E">Eshan Mehendale</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Thorat,+A">Abhinav Thorat</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kolla,+R">Ravi Kolla</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pedanekar,+N">Niranjan Pedanekar</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">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Methodology (stat.ME) </div> </div> </dd> </dl> <dl id='articles'> <h3>Tue, 18 Mar 2025 (showing 31 of 31 entries )</h3> <dt> <a name='item12'>[12]</a> <a href ="/abs/2503.13297" title="Abstract" id="2503.13297"> arXiv:2503.13297 </a> [<a href="/pdf/2503.13297" title="Download PDF" id="pdf-2503.13297" aria-labelledby="pdf-2503.13297">pdf</a>, <a href="https://arxiv.org/html/2503.13297v1" title="View HTML" id="html-2503.13297" aria-labelledby="html-2503.13297" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13297" title="Other formats" id="oth-2503.13297" aria-labelledby="oth-2503.13297">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Maleyeff,+L">Lara Maleyeff</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Golchi,+S">Shirin Golchi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Moodie,+E+E+M">Erica E. M. Moodie</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 12 pages, 2 tables, 2 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='item13'>[13]</a> <a href ="/abs/2503.13148" title="Abstract" id="2503.13148"> arXiv:2503.13148 </a> [<a href="/pdf/2503.13148" title="Download PDF" id="pdf-2503.13148" aria-labelledby="pdf-2503.13148">pdf</a>, <a href="https://arxiv.org/html/2503.13148v1" title="View HTML" id="html-2503.13148" aria-labelledby="html-2503.13148" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13148" title="Other formats" id="oth-2503.13148" aria-labelledby="oth-2503.13148">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spearman's rho for bivariate zero-inflated data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Arends,+J">Jasper Arends</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Perrone,+E">Elisa Perrone</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2503.13078" title="Abstract" id="2503.13078"> arXiv:2503.13078 </a> [<a href="/pdf/2503.13078" title="Download PDF" id="pdf-2503.13078" aria-labelledby="pdf-2503.13078">pdf</a>, <a href="https://arxiv.org/html/2503.13078v1" title="View HTML" id="html-2503.13078" aria-labelledby="html-2503.13078" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13078" title="Other formats" id="oth-2503.13078" aria-labelledby="oth-2503.13078">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hermansen,+T+%C3%98">Tobias 脴stmo Hermansen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zucknick,+M">Manuela Zucknick</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+Z">Zhi Zhao</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Genomics (q-bio.GN); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2503.13066" title="Abstract" id="2503.13066"> arXiv:2503.13066 </a> [<a href="/pdf/2503.13066" title="Download PDF" id="pdf-2503.13066" aria-labelledby="pdf-2503.13066">pdf</a>, <a href="https://arxiv.org/html/2503.13066v1" title="View HTML" id="html-2503.13066" aria-labelledby="html-2503.13066" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13066" title="Other formats" id="oth-2503.13066" aria-labelledby="oth-2503.13066">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+X">Xin Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chu,+H">Haitao Chu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+L">Lin Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roychoudhury,+S">Satrajit Roychoudhury</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='item16'>[16]</a> <a href ="/abs/2503.13037" title="Abstract" id="2503.13037"> arXiv:2503.13037 </a> [<a href="/pdf/2503.13037" title="Download PDF" id="pdf-2503.13037" aria-labelledby="pdf-2503.13037">pdf</a>, <a href="https://arxiv.org/html/2503.13037v1" title="View HTML" id="html-2503.13037" aria-labelledby="html-2503.13037" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13037" title="Other formats" id="oth-2503.13037" aria-labelledby="oth-2503.13037">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Stone,+A+J">Adam J. Stone</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gosling,+J+P">John Paul Gosling</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 27 pages, 7 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2503.12824" title="Abstract" id="2503.12824"> arXiv:2503.12824 </a> [<a href="/pdf/2503.12824" title="Download PDF" id="pdf-2503.12824" aria-labelledby="pdf-2503.12824">pdf</a>, <a href="https://arxiv.org/html/2503.12824v1" title="View HTML" id="html-2503.12824" aria-labelledby="html-2503.12824" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12824" title="Other formats" id="oth-2503.12824" aria-labelledby="oth-2503.12824">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Comparative Review of Modern Competing Risk Methods in High-dimensional Settings </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Djangang,+P+M">Paul M. Djangang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Han,+S+S">Summer S. Han</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sanyal,+N">Nilotpal Sanyal</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2503.12784" title="Abstract" id="2503.12784"> arXiv:2503.12784 </a> [<a href="/pdf/2503.12784" title="Download PDF" id="pdf-2503.12784" aria-labelledby="pdf-2503.12784">pdf</a>, <a href="https://arxiv.org/html/2503.12784v1" title="View HTML" id="html-2503.12784" aria-labelledby="html-2503.12784" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12784" title="Other formats" id="oth-2503.12784" aria-labelledby="oth-2503.12784">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Causal Feature Learning in the Social Sciences </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+J">Jingzhou Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lu,+J">Jiuyao Lu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tolbert,+A+W">Alexander Williams Tolbert</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG); Applications (stat.AP) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2503.12666" title="Abstract" id="2503.12666"> arXiv:2503.12666 </a> [<a href="/pdf/2503.12666" title="Download PDF" id="pdf-2503.12666" aria-labelledby="pdf-2503.12666">pdf</a>, <a href="https://arxiv.org/html/2503.12666v1" title="View HTML" id="html-2503.12666" aria-labelledby="html-2503.12666" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12666" title="Other formats" id="oth-2503.12666" aria-labelledby="oth-2503.12666">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Doubly Robust Instrumental Variable Approach for Estimating Average Treatment Effects in Time-to-Event Data with Unmeasured Confounding: Application to Real-World Data on ICU Patients with Septic Shock </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+R">Runjia Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Talisa,+V+B">Victor B. Talisa</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chang,+C+H">Chung-Chou H. Chang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages (including 5 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='item20'>[20]</a> <a href ="/abs/2503.12634" title="Abstract" id="2503.12634"> arXiv:2503.12634 </a> [<a href="/pdf/2503.12634" title="Download PDF" id="pdf-2503.12634" aria-labelledby="pdf-2503.12634">pdf</a>, <a href="https://arxiv.org/html/2503.12634v1" title="View HTML" id="html-2503.12634" aria-labelledby="html-2503.12634" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12634" title="Other formats" id="oth-2503.12634" aria-labelledby="oth-2503.12634">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Young,+E+H">Elliot H. Young</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=B%C3%BChlmann,+P">Peter B眉hlmann</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='item21'>[21]</a> <a href ="/abs/2503.12315" title="Abstract" id="2503.12315"> arXiv:2503.12315 </a> [<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='item22'>[22]</a> <a href ="/abs/2503.12270" title="Abstract" id="2503.12270"> arXiv:2503.12270 </a> [<a href="/pdf/2503.12270" title="Download PDF" id="pdf-2503.12270" aria-labelledby="pdf-2503.12270">pdf</a>, <a href="https://arxiv.org/html/2503.12270v1" title="View HTML" id="html-2503.12270" aria-labelledby="html-2503.12270" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12270" title="Other formats" id="oth-2503.12270" aria-labelledby="oth-2503.12270">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Palma,+M">Marco Palma</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Keogh,+R+H">Ruth H Keogh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Carr,+S+B">Siobh谩n B Carr</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Szczesniak,+R">Rhonda Szczesniak</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Taylor-Robinson,+D">David Taylor-Robinson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wood,+A+M">Angela M Wood</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Muniz-Terrera,+G">Graciela Muniz-Terrera</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Barrett,+J+K">Jessica K Barrett</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='item23'>[23]</a> <a href ="/abs/2503.12257" title="Abstract" id="2503.12257"> arXiv:2503.12257 </a> [<a href="/pdf/2503.12257" title="Download PDF" id="pdf-2503.12257" aria-labelledby="pdf-2503.12257">pdf</a>, <a href="https://arxiv.org/html/2503.12257v1" title="View HTML" id="html-2503.12257" aria-labelledby="html-2503.12257" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12257" title="Other formats" id="oth-2503.12257" aria-labelledby="oth-2503.12257">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Prior distributions for Gaussian processes in computer model emulation and calibration </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gu,+M">Mengyang Gu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=De+Oliveira,+V">Victor De Oliveira</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='item24'>[24]</a> <a href ="/abs/2503.12236" title="Abstract" id="2503.12236"> arXiv:2503.12236 </a> [<a href="/pdf/2503.12236" title="Download PDF" id="pdf-2503.12236" aria-labelledby="pdf-2503.12236">pdf</a>, <a href="https://arxiv.org/html/2503.12236v1" title="View HTML" id="html-2503.12236" aria-labelledby="html-2503.12236" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12236" title="Other formats" id="oth-2503.12236" aria-labelledby="oth-2503.12236">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multivariate Distribution-Free Nonparametric Testing: Generalizing Wilcoxon's Tests via Optimal Transport </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+Z">Zhen Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sen,+B">Bodhisattva Sen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 20 pages, 2 tables </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/2503.12155" title="Abstract" id="2503.12155"> arXiv:2503.12155 </a> [<a href="/pdf/2503.12155" title="Download PDF" id="pdf-2503.12155" aria-labelledby="pdf-2503.12155">pdf</a>, <a href="https://arxiv.org/html/2503.12155v1" title="View HTML" id="html-2503.12155" aria-labelledby="html-2503.12155" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12155" title="Other formats" id="oth-2503.12155" aria-labelledby="oth-2503.12155">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On self-training of summary data with genetic applications </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Su,+B">Buxin Su</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+J">Jiaoyang Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jin,+J">Jin Jin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+B">Bingxin Zhao</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST); Applications (stat.AP) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2503.12045" title="Abstract" id="2503.12045"> arXiv:2503.12045 </a> [<a href="/pdf/2503.12045" title="Download PDF" id="pdf-2503.12045" aria-labelledby="pdf-2503.12045">pdf</a>, <a href="https://arxiv.org/html/2503.12045v1" title="View HTML" id="html-2503.12045" aria-labelledby="html-2503.12045" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12045" title="Other formats" id="oth-2503.12045" aria-labelledby="oth-2503.12045">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Auditing Differential Privacy in the Black-Box Setting </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Shi,+K">Kaining Shi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ma,+C">Cong Ma</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> work in progress, comments are welcomed </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Cryptography and Security (cs.CR); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2503.11994" title="Abstract" id="2503.11994"> arXiv:2503.11994 </a> [<a href="/pdf/2503.11994" title="Download PDF" id="pdf-2503.11994" aria-labelledby="pdf-2503.11994">pdf</a>, <a href="https://arxiv.org/html/2503.11994v1" title="View HTML" id="html-2503.11994" aria-labelledby="html-2503.11994" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11994" title="Other formats" id="oth-2503.11994" aria-labelledby="oth-2503.11994">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hariharan,+P">Pavithra Hariharan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sankaran,+P+G">P. G. Sankaran</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='item28'>[28]</a> <a href ="/abs/2503.11990" title="Abstract" id="2503.11990"> arXiv:2503.11990 </a> [<a href="/pdf/2503.11990" title="Download PDF" id="pdf-2503.11990" aria-labelledby="pdf-2503.11990">pdf</a>, <a href="https://arxiv.org/html/2503.11990v1" title="View HTML" id="html-2503.11990" aria-labelledby="html-2503.11990" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11990" title="Other formats" id="oth-2503.11990" aria-labelledby="oth-2503.11990">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Testing Stochastic Block Models Based on Maximum Sampling Entry-Wise Deviations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wu,+Y">Yujia Wu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lan,+W">Wei Lan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Feng,+L">Long Feng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tsai,+C">Chih-Ling Tsai</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='item29'>[29]</a> <a href ="/abs/2503.11822" title="Abstract" id="2503.11822"> arXiv:2503.11822 </a> [<a href="/pdf/2503.11822" title="Download PDF" id="pdf-2503.11822" aria-labelledby="pdf-2503.11822">pdf</a>, <a href="https://arxiv.org/html/2503.11822v1" title="View HTML" id="html-2503.11822" aria-labelledby="html-2503.11822" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11822" title="Other formats" id="oth-2503.11822" aria-labelledby="oth-2503.11822">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hu,+C">Chenglei Hu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Castro-Camilo,+D">Daniela Castro-Camilo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 31 pages, 7 figures </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='item30'>[30]</a> <a href ="/abs/2503.11815" title="Abstract" id="2503.11815"> arXiv:2503.11815 </a> [<a href="/pdf/2503.11815" title="Download PDF" id="pdf-2503.11815" aria-labelledby="pdf-2503.11815">pdf</a>, <a href="https://arxiv.org/html/2503.11815v1" title="View HTML" id="html-2503.11815" aria-labelledby="html-2503.11815" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11815" title="Other formats" id="oth-2503.11815" aria-labelledby="oth-2503.11815">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Movement Dynamics in Elite Female Soccer Athletes: The Quantile Cube Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Thomas,+K+L">Kendall L. Thomas</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hannig,+J">Jan Hannig</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 4 tables, 9 figures; Poster presented and awarded 1st place at the 2024 Carnegie Mellon Sports Analytics Conference. Paper submitted to the Journal of Quantitative Analysis in Sports in February 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2503.11749" title="Abstract" id="2503.11749"> arXiv:2503.11749 </a> [<a href="/pdf/2503.11749" title="Download PDF" id="pdf-2503.11749" aria-labelledby="pdf-2503.11749">pdf</a>, <a href="https://arxiv.org/html/2503.11749v1" title="View HTML" id="html-2503.11749" aria-labelledby="html-2503.11749" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11749" title="Other formats" id="oth-2503.11749" aria-labelledby="oth-2503.11749">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient $R^2$ on Unseen Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Torres-Hernandez,+A">Anthony Torres-Hernandez</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Numerical Analysis (math.NA); Statistics Theory (math.ST); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2503.11738" title="Abstract" id="2503.11738"> arXiv:2503.11738 </a> [<a href="/pdf/2503.11738" title="Download PDF" id="pdf-2503.11738" aria-labelledby="pdf-2503.11738">pdf</a>, <a href="https://arxiv.org/html/2503.11738v1" title="View HTML" id="html-2503.11738" aria-labelledby="html-2503.11738" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11738" title="Other formats" id="oth-2503.11738" aria-labelledby="oth-2503.11738">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generalized Bayesian Ensemble Survival Tree (GBEST) model </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ballante,+E">Elena Ballante</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Muliere,+P">Pietro Muliere</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Figini,+S">Silvia Figini</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2503.11712" title="Abstract" id="2503.11712"> arXiv:2503.11712 </a> [<a href="/pdf/2503.11712" title="Download PDF" id="pdf-2503.11712" aria-labelledby="pdf-2503.11712">pdf</a>, <a href="https://arxiv.org/html/2503.11712v1" title="View HTML" id="html-2503.11712" aria-labelledby="html-2503.11712" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11712" title="Other formats" id="oth-2503.11712" aria-labelledby="oth-2503.11712">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Comment on arXiv:2202.01553: The Distribution of a Gaussian Covariate Statistic </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Whittaker,+J">Joe Whittaker</a> (Lancaster University, U.K.)</div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 4 pages. This is a comment on <a href="https://arxiv.org/abs/2202.01553" data-arxiv-id="2202.01553" class="link-https">arXiv:2202.01553</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/2503.13372" title="Abstract" id="2503.13372"> arXiv:2503.13372 </a> (cross-list from stat.AP) [<a href="/pdf/2503.13372" title="Download PDF" id="pdf-2503.13372" aria-labelledby="pdf-2503.13372">pdf</a>, <a href="https://arxiv.org/html/2503.13372v1" title="View HTML" id="html-2503.13372" aria-labelledby="html-2503.13372" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13372" title="Other formats" id="oth-2503.13372" aria-labelledby="oth-2503.13372">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multivariate Sparse Functional Linear Discriminant Analysis: An Application to Inflammatory Bowel Disease Classification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+L">Limeng Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+G">Guannan Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Safo,+S+E">Sandra E. Safo</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Computation (stat.CO); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2503.13323" title="Abstract" id="2503.13323"> arXiv:2503.13323 </a> (cross-list from econ.EM) [<a href="/pdf/2503.13323" title="Download PDF" id="pdf-2503.13323" aria-labelledby="pdf-2503.13323">pdf</a>, <a href="https://arxiv.org/html/2503.13323v1" title="View HTML" id="html-2503.13323" aria-labelledby="html-2503.13323" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13323" title="Other formats" id="oth-2503.13323" aria-labelledby="oth-2503.13323">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Difference-in-Differences Designs: A Practitioner's Guide </div> <div class='list-authors'><a href="https://arxiv.org/search/econ?searchtype=author&query=Baker,+A">Andrew Baker</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Callaway,+B">Brantly Callaway</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Cunningham,+S">Scott Cunningham</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Goodman-Bacon,+A">Andrew Goodman-Bacon</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Sant'Anna,+P+H+C">Pedro H. C. Sant'Anna</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Econometrics (econ.EM)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2503.13191" title="Abstract" id="2503.13191"> arXiv:2503.13191 </a> (cross-list from math.ST) [<a href="/pdf/2503.13191" title="Download PDF" id="pdf-2503.13191" aria-labelledby="pdf-2503.13191">pdf</a>, <a href="/format/2503.13191" title="Other formats" id="oth-2503.13191" aria-labelledby="oth-2503.13191">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Stein's method of moment estimators for local dependency exponential random graph models </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Fischer,+A">Adrian Fischer</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Reinert,+G">Gesine Reinert</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Xu,+W">Wenkai Xu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2503.12747" title="Abstract" id="2503.12747"> arXiv:2503.12747 </a> (cross-list from math.OC) [<a href="/pdf/2503.12747" title="Download PDF" id="pdf-2503.12747" aria-labelledby="pdf-2503.12747">pdf</a>, <a href="https://arxiv.org/html/2503.12747v1" title="View HTML" id="html-2503.12747" aria-labelledby="html-2503.12747" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12747" title="Other formats" id="oth-2503.12747" aria-labelledby="oth-2503.12747">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical Inference for Weighted Sample Average Approximation in Contextual Stochastic Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Wang,+Y">Yanyuan Wang</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Zhang,+X">Xiaowei Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Main body: 38 pages, 10 figures; supplemental material: 31 pages, 9 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Methodology (stat.ME); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2503.12611" title="Abstract" id="2503.12611"> arXiv:2503.12611 </a> (cross-list from econ.EM) [<a href="/pdf/2503.12611" title="Download PDF" id="pdf-2503.12611" aria-labelledby="pdf-2503.12611">pdf</a>, <a href="https://arxiv.org/html/2503.12611v1" title="View HTML" id="html-2503.12611" aria-labelledby="html-2503.12611" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12611" title="Other formats" id="oth-2503.12611" aria-labelledby="oth-2503.12611">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Functional Factor Regression with an Application to Electricity Price Curve Modeling </div> <div class='list-authors'><a href="https://arxiv.org/search/econ?searchtype=author&query=Otto,+S">Sven Otto</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Winter,+L">Luis Winter</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Econometrics (econ.EM)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2503.12456" title="Abstract" id="2503.12456"> arXiv:2503.12456 </a> (cross-list from stat.ML) [<a href="/pdf/2503.12456" title="Download PDF" id="pdf-2503.12456" aria-labelledby="pdf-2503.12456">pdf</a>, <a href="https://arxiv.org/html/2503.12456v1" title="View HTML" id="html-2503.12456" aria-labelledby="html-2503.12456" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12456" title="Other formats" id="oth-2503.12456" aria-labelledby="oth-2503.12456">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+K">Ke Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jiang,+D">Dandan Jiang</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); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2503.11909" title="Abstract" id="2503.11909"> arXiv:2503.11909 </a> (cross-list from stat.AP) [<a href="/pdf/2503.11909" title="Download PDF" id="pdf-2503.11909" aria-labelledby="pdf-2503.11909">pdf</a>, <a href="https://arxiv.org/html/2503.11909v1" title="View HTML" id="html-2503.11909" aria-labelledby="html-2503.11909" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11909" title="Other formats" id="oth-2503.11909" aria-labelledby="oth-2503.11909">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spatiotemporal clustering of GHGs emissions in Europe: exploring the role of spatial component </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Morelli,+C">Caterina Morelli</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Maranzano,+P">Paolo Maranzano</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Otto,+P">Philipp Otto</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2503.11808" title="Abstract" id="2503.11808"> arXiv:2503.11808 </a> (cross-list from cs.LG) [<a href="/pdf/2503.11808" title="Download PDF" id="pdf-2503.11808" aria-labelledby="pdf-2503.11808">pdf</a>, <a href="https://arxiv.org/html/2503.11808v1" title="View HTML" id="html-2503.11808" aria-labelledby="html-2503.11808" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11808" title="Other formats" id="oth-2503.11808" aria-labelledby="oth-2503.11808">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Architecture and Evaluation of Bayesian Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Sheinkman,+A">Alisa Sheinkman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wade,+S">Sara Wade</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Methodology (stat.ME); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2503.11718" title="Abstract" id="2503.11718"> arXiv:2503.11718 </a> (cross-list from cs.AI) [<a href="/pdf/2503.11718" title="Download PDF" id="pdf-2503.11718" aria-labelledby="pdf-2503.11718">pdf</a>, <a href="/format/2503.11718" title="Other formats" id="oth-2503.11718" aria-labelledby="oth-2503.11718">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Relativity of Causal Knowledge </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=D'Acunto,+G">Gabriele D'Acunto</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Battiloro,+C">Claudio Battiloro</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages, 2 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG); Category Theory (math.CT); Methodology (stat.ME) </div> </div> </dd> </dl> <dl id='articles'> <h3>Mon, 17 Mar 2025 (showing 7 of 7 entries )</h3> <dt> <a name='item43'>[43]</a> <a href ="/abs/2503.11637" title="Abstract" id="2503.11637"> arXiv:2503.11637 </a> [<a href="/pdf/2503.11637" title="Download PDF" id="pdf-2503.11637" aria-labelledby="pdf-2503.11637">pdf</a>, <a href="https://arxiv.org/html/2503.11637v1" title="View HTML" id="html-2503.11637" aria-labelledby="html-2503.11637" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11637" title="Other formats" id="oth-2503.11637" aria-labelledby="oth-2503.11637">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zeng,+C">Cheng Zeng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+Y">Yaozhi Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xu,+J">Jason Xu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Duan,+L+L">Leo L Duan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 31 pages, 13 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2503.11472" title="Abstract" id="2503.11472"> arXiv:2503.11472 </a> [<a href="/pdf/2503.11472" title="Download PDF" id="pdf-2503.11472" aria-labelledby="pdf-2503.11472">pdf</a>, <a href="https://arxiv.org/html/2503.11472v1" title="View HTML" id="html-2503.11472" aria-labelledby="html-2503.11472" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11472" title="Other formats" id="oth-2503.11472" aria-labelledby="oth-2503.11472">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Factors affecting power in stepped wedge trials when the treatment effect varies with time </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kenny,+A">Avi Kenny</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Voldal,+E+C">Emily C. Voldal</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xia,+F">Fan Xia</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chan,+K+C+G">Kwun Chuen Gary Chan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Heagerty,+P+J">Patrick J. Heagerty</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hughes,+J+P">James P. Hughes</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='item45'>[45]</a> <a href ="/abs/2503.11268" title="Abstract" id="2503.11268"> arXiv:2503.11268 </a> [<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='item46'>[46]</a> <a href ="/abs/2503.11210" title="Abstract" id="2503.11210"> arXiv:2503.11210 </a> [<a href="/pdf/2503.11210" title="Download PDF" id="pdf-2503.11210" aria-labelledby="pdf-2503.11210">pdf</a>, <a href="https://arxiv.org/html/2503.11210v2" title="View HTML" id="html-2503.11210" aria-labelledby="html-2503.11210" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11210" title="Other formats" id="oth-2503.11210" aria-labelledby="oth-2503.11210">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bounds for the regression parameters in dependently censored survival models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Willems,+I">Ilias Willems</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Beyhum,+J">Jad Beyhum</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Van+Keilegom,+I">Ingrid Van Keilegom</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 20 pages, 2 figures, 2 table </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2503.10823" title="Abstract" id="2503.10823"> arXiv:2503.10823 </a> [<a href="/pdf/2503.10823" title="Download PDF" id="pdf-2503.10823" aria-labelledby="pdf-2503.10823">pdf</a>, <a href="/format/2503.10823" title="Other formats" id="oth-2503.10823" aria-labelledby="oth-2503.10823">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Surviving the frailty of time to event analysis in massive datasets with Generalized Additive Models (and the help of Simon Laplace) </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Argyropoulos,+C">Christos Argyropoulos</a> (1 and 2), <a href="https://arxiv.org/search/stat?searchtype=author&query=Mir,+H">Hamza Mir</a> (1), <a href="https://arxiv.org/search/stat?searchtype=author&query=Roumelioti,+M">Maria-Eleni Roumelioti</a> (1), <a href="https://arxiv.org/search/stat?searchtype=author&query=Garcia,+P">Pablo Garcia</a> (1) ((1) Division of Nephrology Department of Internal Medicine University of New Mexico, (2) Clinical and Translational Sciences Center Health Sciences Center University of New Mexico)</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='item48'>[48]</a> <a href ="/abs/2503.10787" title="Abstract" id="2503.10787"> arXiv:2503.10787 </a> [<a href="/pdf/2503.10787" title="Download PDF" id="pdf-2503.10787" aria-labelledby="pdf-2503.10787">pdf</a>, <a href="https://arxiv.org/html/2503.10787v2" title="View HTML" id="html-2503.10787" aria-labelledby="html-2503.10787" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10787" title="Other formats" id="oth-2503.10787" aria-labelledby="oth-2503.10787">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayes factor functions for testing partial correlation coefficients </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Datta,+S">Saptati Datta</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Johnson,+V+E">Valen E. Johnson</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='item49'>[49]</a> <a href ="/abs/2503.11479" title="Abstract" id="2503.11479"> arXiv:2503.11479 </a> (cross-list from stat.CO) [<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> </dl> <dl id='articles'> <h3>Fri, 14 Mar 2025 (showing first 1 of 13 entries )</h3> <dt> <a name='item50'>[50]</a> <a href ="/abs/2503.10591" title="Abstract" id="2503.10591"> arXiv:2503.10591 </a> [<a href="/pdf/2503.10591" title="Download PDF" id="pdf-2503.10591" aria-labelledby="pdf-2503.10591">pdf</a>, <a href="https://arxiv.org/html/2503.10591v1" title="View HTML" id="html-2503.10591" aria-labelledby="html-2503.10591" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10591" title="Other formats" id="oth-2503.10591" aria-labelledby="oth-2503.10591">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Analysis and sample-size determination for $2^K$ audit experiments with binary response and application to identification of effect of racial discrimination on access to justice </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pashley,+N">Nicole Pashley</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Libgober,+B">Brian Libgober</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dasgupta,+T">Tirthankar Dasgupta</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 74 entries : <span>1-50</span> <a href=/list/stat.ME/recent?skip=50&show=50>51-74</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat.ME/recent?skip=0&show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <a href=/list/stat.ME/recent?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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