Statistics

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</a> </li></ul> <p>See today's <a id="new-stat" aria-labelledby="new-stat" href="/list/stat/new">new</a> changes</p> <div class='paging'>Total of 232 entries : <span>1-50</span> <a href=/list/stat/recent?skip=50&show=50>51-100</a> <a href=/list/stat/recent?skip=100&show=50>101-150</a> <a href=/list/stat/recent?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/recent?skip=200&show=50>201-232</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/recent?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/recent?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/recent?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <h3>Mon, 7 Apr 2025 (showing 50 of 50 entries )</h3> <dt> <a name='item1'>[1]</a> <a href ="/abs/2504.03630" title="Abstract" id="2504.03630"> arXiv:2504.03630 </a> [<a href="/pdf/2504.03630" title="Download PDF" id="pdf-2504.03630" aria-labelledby="pdf-2504.03630">pdf</a>, <a href="https://arxiv.org/html/2504.03630v1" title="View HTML" id="html-2504.03630" aria-labelledby="html-2504.03630" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03630" title="Other formats" id="oth-2504.03630" aria-labelledby="oth-2504.03630">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Enhancing Causal Effect Estimation with Diffusion-Generated Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+L">Li Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shen,+X">Xiaotong Shen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pan,+W">Wei Pan</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/2504.03609" title="Abstract" id="2504.03609"> arXiv:2504.03609 </a> [<a href="/pdf/2504.03609" title="Download PDF" id="pdf-2504.03609" aria-labelledby="pdf-2504.03609">pdf</a>, <a href="/format/2504.03609" title="Other formats" id="oth-2504.03609" aria-labelledby="oth-2504.03609">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Choosing an analytic approach: Key study design considerations in state policy evaluation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Stone,+E+M">Elizabeth M. Stone</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Schuler,+M+S">Megan S. Schuler</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stuart,+E+A">Elizabeth A. Stuart</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rubinstein,+M">Max Rubinstein</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Griswold,+M">Max Griswold</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stein,+B+D">Bradley D. Stein</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Griffin,+B+A">Beth Ann Griffin</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='item3'>[3]</a> <a href ="/abs/2504.03608" title="Abstract" id="2504.03608"> arXiv:2504.03608 </a> [<a href="/pdf/2504.03608" title="Download PDF" id="pdf-2504.03608" aria-labelledby="pdf-2504.03608">pdf</a>, <a href="https://arxiv.org/html/2504.03608v1" title="View HTML" id="html-2504.03608" aria-labelledby="html-2504.03608" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03608" title="Other formats" id="oth-2504.03608" aria-labelledby="oth-2504.03608">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Going green across boundaries: Spatial effects of environmental policies on tourism flows </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Serio,+R+G">Riccardo Gianluigi Serio</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Giuliani,+D">Diego Giuliani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dickson,+M+M">Maria Michela Dickson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Espa,+G">Giuseppe Espa</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='item4'>[4]</a> <a href ="/abs/2504.03594" title="Abstract" id="2504.03594"> arXiv:2504.03594 </a> [<a href="/pdf/2504.03594" title="Download PDF" id="pdf-2504.03594" aria-labelledby="pdf-2504.03594">pdf</a>, <a href="https://arxiv.org/html/2504.03594v1" title="View HTML" id="html-2504.03594" aria-labelledby="html-2504.03594" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03594" title="Other formats" id="oth-2504.03594" aria-labelledby="oth-2504.03594">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Flatness-Robust Critical Bandwidth </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kostyshak,+S">Scott Kostyshak</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 22 pages, 3 figures, 1 table </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='item5'>[5]</a> <a href ="/abs/2504.03544" title="Abstract" id="2504.03544"> arXiv:2504.03544 </a> [<a href="/pdf/2504.03544" title="Download PDF" id="pdf-2504.03544" aria-labelledby="pdf-2504.03544">pdf</a>, <a href="https://arxiv.org/html/2504.03544v1" title="View HTML" id="html-2504.03544" aria-labelledby="html-2504.03544" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03544" title="Other formats" id="oth-2504.03544" aria-labelledby="oth-2504.03544">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> evalprob4cast: An R-package for evaluation of ensembles as probabilistic forecasts or event forecasts </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bjerreg%C3%A5rd,+M+B">Mathias Blicher Bjerreg氓rd</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Browell,+J">Jethro Browell</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zack,+J">John Zack</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=M%C3%B8ller,+J+K">Jan Kloppenborg M酶ller</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Madsen,+H">Henrik Madsen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Giebel,+G">Gregor Giebel</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=M%C3%B6hrlen,+C">Corinna M枚hrlen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 23 pages, 13 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2504.03503" title="Abstract" id="2504.03503"> arXiv:2504.03503 </a> [<a href="/pdf/2504.03503" title="Download PDF" id="pdf-2504.03503" aria-labelledby="pdf-2504.03503">pdf</a>, <a href="https://arxiv.org/html/2504.03503v1" title="View HTML" id="html-2504.03503" aria-labelledby="html-2504.03503" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03503" title="Other formats" id="oth-2504.03503" aria-labelledby="oth-2504.03503">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Operator Learning: A Statistical Perspective </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Subedi,+U">Unique Subedi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tewari,+A">Ambuj Tewari</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages, 6 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='item7'>[7]</a> <a href ="/abs/2504.03502" title="Abstract" id="2504.03502"> arXiv:2504.03502 </a> [<a href="/pdf/2504.03502" title="Download PDF" id="pdf-2504.03502" aria-labelledby="pdf-2504.03502">pdf</a>, <a href="https://arxiv.org/html/2504.03502v1" title="View HTML" id="html-2504.03502" aria-labelledby="html-2504.03502" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03502" title="Other formats" id="oth-2504.03502" aria-labelledby="oth-2504.03502">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Target Prediction Under Deceptive Switching Strategies via Outlier-Robust Filtering of Partially Observed Incomplete Trajectories </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Meng,+Y">Yiming Meng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+D">Dongchang Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ornik,+M">Melkior Ornik</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='item8'>[8]</a> <a href ="/abs/2504.03480" title="Abstract" id="2504.03480"> arXiv:2504.03480 </a> [<a href="/pdf/2504.03480" title="Download PDF" id="pdf-2504.03480" aria-labelledby="pdf-2504.03480">pdf</a>, <a href="https://arxiv.org/html/2504.03480v1" title="View HTML" id="html-2504.03480" aria-labelledby="html-2504.03480" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03480" title="Other formats" id="oth-2504.03480" aria-labelledby="oth-2504.03480">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multivariate Causal Effects: a Bayesian Causal Regression Factor Model </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zorzetto,+D">Dafne Zorzetto</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Landy,+J">Jenna Landy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zigler,+C">Corwin Zigler</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Parmigiani,+G">Giovanni Parmigiani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=De+Vito,+R">Roberta De Vito</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='item9'>[9]</a> <a href ="/abs/2504.03466" title="Abstract" id="2504.03466"> arXiv:2504.03466 </a> [<a href="/pdf/2504.03466" title="Download PDF" id="pdf-2504.03466" aria-labelledby="pdf-2504.03466">pdf</a>, <a href="https://arxiv.org/html/2504.03466v1" title="View HTML" id="html-2504.03466" aria-labelledby="html-2504.03466" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03466" title="Other formats" id="oth-2504.03466" aria-labelledby="oth-2504.03466">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Identifiability of VAR(1) model in a stationary setting </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Liu,+B">Bixuan Liu</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='item10'>[10]</a> <a href ="/abs/2504.03464" title="Abstract" id="2504.03464"> arXiv:2504.03464 </a> [<a href="/pdf/2504.03464" title="Download PDF" id="pdf-2504.03464" aria-labelledby="pdf-2504.03464">pdf</a>, <a href="https://arxiv.org/html/2504.03464v1" title="View HTML" id="html-2504.03464" aria-labelledby="html-2504.03464" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03464" title="Other formats" id="oth-2504.03464" aria-labelledby="oth-2504.03464">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spatiotemporal causal inference with arbitrary spillover and carryover effects </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mukaigawara,+M">Mitsuru Mukaigawara</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Imai,+K">Kosuke Imai</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lyall,+J">Jason Lyall</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Papadogeorgou,+G">Georgia Papadogeorgou</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='item11'>[11]</a> <a href ="/abs/2504.03461" title="Abstract" id="2504.03461"> arXiv:2504.03461 </a> [<a href="/pdf/2504.03461" title="Download PDF" id="pdf-2504.03461" aria-labelledby="pdf-2504.03461">pdf</a>, <a href="https://arxiv.org/html/2504.03461v1" title="View HTML" id="html-2504.03461" aria-labelledby="html-2504.03461" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03461" title="Other formats" id="oth-2504.03461" aria-labelledby="oth-2504.03461">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Conditioning Diffusions Using Malliavin Calculus </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pidstrigach,+J">Jakiw Pidstrigach</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Baker,+E">Elizabeth Baker</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Domingo-Enrich,+C">Carles Domingo-Enrich</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Deligiannidis,+G">George Deligiannidis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=N%C3%BCsken,+N">Nikolas N眉sken</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Probability (math.PR) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2504.03427" title="Abstract" id="2504.03427"> arXiv:2504.03427 </a> [<a href="/pdf/2504.03427" title="Download PDF" id="pdf-2504.03427" aria-labelledby="pdf-2504.03427">pdf</a>, <a href="https://arxiv.org/html/2504.03427v1" title="View HTML" id="html-2504.03427" aria-labelledby="html-2504.03427" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03427" title="Other formats" id="oth-2504.03427" aria-labelledby="oth-2504.03427">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On empirical Hodge Laplacians under the manifold hypothesis </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Lerch,+J">Jan-Paul Lerch</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Wahl,+M">Martin Wahl</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Differential Geometry (math.DG); Probability (math.PR) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2504.03405" title="Abstract" id="2504.03405"> arXiv:2504.03405 </a> [<a href="/pdf/2504.03405" title="Download PDF" id="pdf-2504.03405" aria-labelledby="pdf-2504.03405">pdf</a>, <a href="https://arxiv.org/html/2504.03405v1" title="View HTML" id="html-2504.03405" aria-labelledby="html-2504.03405" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03405" title="Other formats" id="oth-2504.03405" aria-labelledby="oth-2504.03405">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the rate of convergence of an over-parametrized deep neural network regression estimate learned by gradient descent </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Kohler,+M">Michael Kohler</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='item14'>[14]</a> <a href ="/abs/2504.03390" title="Abstract" id="2504.03390"> arXiv:2504.03390 </a> [<a href="/pdf/2504.03390" title="Download PDF" id="pdf-2504.03390" aria-labelledby="pdf-2504.03390">pdf</a>, <a href="https://arxiv.org/html/2504.03390v1" title="View HTML" id="html-2504.03390" aria-labelledby="html-2504.03390" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03390" title="Other formats" id="oth-2504.03390" aria-labelledby="oth-2504.03390">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Eigen-inference by Marchenko-Pastur inversion </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Deitmar,+B">Ben Deitmar</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages, 2 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='item15'>[15]</a> <a href ="/abs/2504.03368" title="Abstract" id="2504.03368"> arXiv:2504.03368 </a> [<a href="/pdf/2504.03368" title="Download PDF" id="pdf-2504.03368" aria-labelledby="pdf-2504.03368">pdf</a>, <a href="https://arxiv.org/html/2504.03368v1" title="View HTML" id="html-2504.03368" aria-labelledby="html-2504.03368" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03368" title="Other formats" id="oth-2504.03368" aria-labelledby="oth-2504.03368">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gioia,+V">Vincenzo Gioia</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Fasiolo,+M">Matteo Fasiolo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bellio,+R">Ruggero Bellio</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wood,+S+N">Simon N. Wood</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Applications (stat.AP); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2504.03350" title="Abstract" id="2504.03350"> arXiv:2504.03350 </a> [<a href="/pdf/2504.03350" title="Download PDF" id="pdf-2504.03350" aria-labelledby="pdf-2504.03350">pdf</a>, <a href="https://arxiv.org/html/2504.03350v1" title="View HTML" id="html-2504.03350" aria-labelledby="html-2504.03350" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03350" title="Other formats" id="oth-2504.03350" aria-labelledby="oth-2504.03350">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian LSTM for indoor temperature modeling </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hannula,+E">Emma Hannula</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=H%C3%A4kkinen,+A">Arttu H盲kkinen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Solonen,+A">Antti Solonen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Uribe,+F">Felibe Uribe</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=de+Wiljes,+J">Jana de Wiljes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roininen,+L">Lassi Roininen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2504.03322" title="Abstract" id="2504.03322"> arXiv:2504.03322 </a> [<a href="/pdf/2504.03322" title="Download PDF" id="pdf-2504.03322" aria-labelledby="pdf-2504.03322">pdf</a>, <a href="https://arxiv.org/html/2504.03322v1" title="View HTML" id="html-2504.03322" aria-labelledby="html-2504.03322" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03322" title="Other formats" id="oth-2504.03322" aria-labelledby="oth-2504.03322">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tian,+W">Wan Tian</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Qin,+Z">Zhongfeng Qin</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='item18'>[18]</a> <a href ="/abs/2504.03321" title="Abstract" id="2504.03321"> arXiv:2504.03321 </a> [<a href="/pdf/2504.03321" title="Download PDF" id="pdf-2504.03321" aria-labelledby="pdf-2504.03321">pdf</a>, <a href="https://arxiv.org/html/2504.03321v1" title="View HTML" id="html-2504.03321" aria-labelledby="html-2504.03321" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03321" title="Other formats" id="oth-2504.03321" aria-labelledby="oth-2504.03321">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adaptive sparse variational approximations for Gaussian process regression </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Nieman,+D">Dennis Nieman</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Szab%C3%B3,+B">Botond Szab贸</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2504.03318" title="Abstract" id="2504.03318"> arXiv:2504.03318 </a> [<a href="/pdf/2504.03318" title="Download PDF" id="pdf-2504.03318" aria-labelledby="pdf-2504.03318">pdf</a>, <a href="https://arxiv.org/html/2504.03318v1" title="View HTML" id="html-2504.03318" aria-labelledby="html-2504.03318" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03318" title="Other formats" id="oth-2504.03318" aria-labelledby="oth-2504.03318">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adaptive Classification of Interval-Valued Time Series </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tian,+W">Wan Tian</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Qin,+Z">Zhongfeng Qin</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/2504.03310" title="Abstract" id="2504.03310"> arXiv:2504.03310 </a> [<a href="/pdf/2504.03310" title="Download PDF" id="pdf-2504.03310" aria-labelledby="pdf-2504.03310">pdf</a>, <a href="https://arxiv.org/html/2504.03310v1" title="View HTML" id="html-2504.03310" aria-labelledby="html-2504.03310" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03310" title="Other formats" id="oth-2504.03310" aria-labelledby="oth-2504.03310">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A model-free feature extraction procedure for interval-valued time series prediction </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tian,+W">Wan Tian</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Qin,+Z">Zhongfeng Qin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hu,+T">Tao Hu</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='item21'>[21]</a> <a href ="/abs/2504.03242" title="Abstract" id="2504.03242"> arXiv:2504.03242 </a> [<a href="/pdf/2504.03242" title="Download PDF" id="pdf-2504.03242" aria-labelledby="pdf-2504.03242">pdf</a>, <a href="/format/2504.03242" title="Other formats" id="oth-2504.03242" aria-labelledby="oth-2504.03242">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient importance sampling for copula models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cheng,+S">Siang Cheng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Fuh,+C">Cheng-Der Fuh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pang,+T">Tianxiao Pang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by SCIENTIA SINICA Mathematica (in Chinese) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2504.03172" title="Abstract" id="2504.03172"> arXiv:2504.03172 </a> [<a href="/pdf/2504.03172" title="Download PDF" id="pdf-2504.03172" aria-labelledby="pdf-2504.03172">pdf</a>, <a href="https://arxiv.org/html/2504.03172v1" title="View HTML" id="html-2504.03172" aria-labelledby="html-2504.03172" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03172" title="Other formats" id="oth-2504.03172" aria-labelledby="oth-2504.03172">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Optimization of Robustness Measures Using Randomized GP-UCB-based Algorithms under Input Uncertainty </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Inatsu,+Y">Yu Inatsu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 44 pages, 4 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='item23'>[23]</a> <a href ="/abs/2504.03161" title="Abstract" id="2504.03161"> arXiv:2504.03161 </a> [<a href="/pdf/2504.03161" title="Download PDF" id="pdf-2504.03161" aria-labelledby="pdf-2504.03161">pdf</a>, <a href="https://arxiv.org/html/2504.03161v1" title="View HTML" id="html-2504.03161" aria-labelledby="html-2504.03161" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03161" title="Other formats" id="oth-2504.03161" aria-labelledby="oth-2504.03161">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modified Tests of Linear Hypotheses Under Heteroscedasticity for Multivariate Functional Data with Finite Sample Sizes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhu,+T">Tianming Zhu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2504.03158" title="Abstract" id="2504.03158"> arXiv:2504.03158 </a> [<a href="/pdf/2504.03158" title="Download PDF" id="pdf-2504.03158" aria-labelledby="pdf-2504.03158">pdf</a>, <a href="https://arxiv.org/html/2504.03158v1" title="View HTML" id="html-2504.03158" aria-labelledby="html-2504.03158" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03158" title="Other formats" id="oth-2504.03158" aria-labelledby="oth-2504.03158">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Accelerating Particle-based Energetic Variational Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bao,+X">Xuelian Bao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kang,+L">Lulu Kang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+C">Chun Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+Y">Yiwei Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages, 5 figures, 2 tables </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='item25'>[25]</a> <a href ="/abs/2504.03143" title="Abstract" id="2504.03143"> arXiv:2504.03143 </a> [<a href="/pdf/2504.03143" title="Download PDF" id="pdf-2504.03143" aria-labelledby="pdf-2504.03143">pdf</a>, <a href="https://arxiv.org/html/2504.03143v1" title="View HTML" id="html-2504.03143" aria-labelledby="html-2504.03143" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03143" title="Other formats" id="oth-2504.03143" aria-labelledby="oth-2504.03143">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+Z">Zi Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Cheng,+Y">Yu Cheng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wahed,+A+S">Abdus S. Wahed</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 29 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='item26'>[26]</a> <a href ="/abs/2504.03097" title="Abstract" id="2504.03097"> arXiv:2504.03097 </a> [<a href="/pdf/2504.03097" title="Download PDF" id="pdf-2504.03097" aria-labelledby="pdf-2504.03097">pdf</a>, <a href="https://arxiv.org/html/2504.03097v1" title="View HTML" id="html-2504.03097" aria-labelledby="html-2504.03097" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03097" title="Other formats" id="oth-2504.03097" aria-labelledby="oth-2504.03097">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A computational transition for detecting multivariate shuffled linear regression by low-degree polynomials </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Z">Zhangsong Li</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 23 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Probability (math.PR); Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2504.03066" title="Abstract" id="2504.03066"> arXiv:2504.03066 </a> [<a href="/pdf/2504.03066" title="Download PDF" id="pdf-2504.03066" aria-labelledby="pdf-2504.03066">pdf</a>, <a href="https://arxiv.org/html/2504.03066v1" title="View HTML" id="html-2504.03066" aria-labelledby="html-2504.03066" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03066" title="Other formats" id="oth-2504.03066" aria-labelledby="oth-2504.03066">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Lanczos-Based Algorithmic Approach for Spike Detection in Large Sample Covariance Matrices </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Younes,+C+A">Charbel Abi Younes</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ding,+X">Xiucai Ding</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Trogdon,+T">Thomas Trogdon</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2504.03063" title="Abstract" id="2504.03063"> arXiv:2504.03063 </a> [<a href="/pdf/2504.03063" title="Download PDF" id="pdf-2504.03063" aria-labelledby="pdf-2504.03063">pdf</a>, <a href="https://arxiv.org/html/2504.03063v1" title="View HTML" id="html-2504.03063" aria-labelledby="html-2504.03063" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03063" title="Other formats" id="oth-2504.03063" aria-labelledby="oth-2504.03063">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparametric Estimation of Local Treatment Effects with Continuous Instruments </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zeng,+Z">Zhenghao Zeng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Levis,+A+W">Alexander W. Levis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lee,+J">JungHo Lee</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kennedy,+E+H">Edward H. Kennedy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Keele,+L">Luke Keele</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 44 pages, 2 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='item29'>[29]</a> <a href ="/abs/2504.03035" title="Abstract" id="2504.03035"> arXiv:2504.03035 </a> [<a href="/pdf/2504.03035" title="Download PDF" id="pdf-2504.03035" aria-labelledby="pdf-2504.03035">pdf</a>, <a href="https://arxiv.org/html/2504.03035v1" title="View HTML" id="html-2504.03035" aria-labelledby="html-2504.03035" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03035" title="Other formats" id="oth-2504.03035" aria-labelledby="oth-2504.03035">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> High-dimensional ridge regression with random features for non-identically distributed data with a variance profile </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dabo,+I">Issa-Mbenard Dabo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bigot,+J">J茅r茅mie Bigot</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Probability (math.PR); Statistics Theory (math.ST); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2504.02974" title="Abstract" id="2504.02974"> arXiv:2504.02974 </a> [<a href="/pdf/2504.02974" title="Download PDF" id="pdf-2504.02974" aria-labelledby="pdf-2504.02974">pdf</a>, <a href="https://arxiv.org/html/2504.02974v1" title="View HTML" id="html-2504.02974" aria-labelledby="html-2504.02974" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02974" title="Other formats" id="oth-2504.02974" aria-labelledby="oth-2504.02974">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> E-variables for hypotheses generated by constraints </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Larsson,+M">Martin Larsson</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ramdas,+A">Aaditya Ramdas</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ruf,+J">Johannes Ruf</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='item31'>[31]</a> <a href ="/abs/2504.02960" title="Abstract" id="2504.02960"> arXiv:2504.02960 </a> [<a href="/pdf/2504.02960" title="Download PDF" id="pdf-2504.02960" aria-labelledby="pdf-2504.02960">pdf</a>, <a href="https://arxiv.org/html/2504.02960v1" title="View HTML" id="html-2504.02960" aria-labelledby="html-2504.02960" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02960" title="Other formats" id="oth-2504.02960" aria-labelledby="oth-2504.02960">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Anytime Valid Test for Complete Spatial Randomness </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dixit,+V">Vaidehi Dixit</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wikle,+C+K">Christopher K. Wikle</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Holan,+S+H">Scott H. Holan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Other Statistics (stat.OT)</span> </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2504.02959" title="Abstract" id="2504.02959"> arXiv:2504.02959 </a> [<a href="/pdf/2504.02959" title="Download PDF" id="pdf-2504.02959" aria-labelledby="pdf-2504.02959">pdf</a>, <a href="https://arxiv.org/html/2504.02959v1" title="View HTML" id="html-2504.02959" aria-labelledby="html-2504.02959" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02959" title="Other formats" id="oth-2504.02959" aria-labelledby="oth-2504.02959">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian sequential analysis of adverse events with binary data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+J">Jiayue Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Boukai,+B">Ben Boukai</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 26 pages, 11 tables, 19 figures </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='item33'>[33]</a> <a href ="/abs/2504.02950" title="Abstract" id="2504.02950"> arXiv:2504.02950 </a> [<a href="/pdf/2504.02950" title="Download PDF" id="pdf-2504.02950" aria-labelledby="pdf-2504.02950">pdf</a>, <a href="https://arxiv.org/html/2504.02950v1" title="View HTML" id="html-2504.02950" aria-labelledby="html-2504.02950" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02950" title="Other formats" id="oth-2504.02950" aria-labelledby="oth-2504.02950">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Kullback-Leibler Consistency of $p$-dimensional P贸lya Tree Posteriors and Differential Entropy Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Corr%C3%AAa,+F">Fernando Corr锚a</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Stern,+R+B">Rafael Bassi Stern</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Stern,+J+M">Julio Michael Stern</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 20 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2504.02919" title="Abstract" id="2504.02919"> arXiv:2504.02919 </a> [<a href="/pdf/2504.02919" title="Download PDF" id="pdf-2504.02919" aria-labelledby="pdf-2504.02919">pdf</a>, <a href="https://arxiv.org/html/2504.02919v1" title="View HTML" id="html-2504.02919" aria-labelledby="html-2504.02919" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02919" title="Other formats" id="oth-2504.02919" aria-labelledby="oth-2504.02919">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Duan,+Y">Yuhan Duan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+X">Xin Zhao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shi,+N">Neng Shi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shen,+H">Han-Wei Shen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Graphics (cs.GR); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2401.13760" title="Abstract" id="2401.13760"> arXiv:2401.13760 </a> [<a href="/pdf/2401.13760" title="Download PDF" id="pdf-2401.13760" aria-labelledby="pdf-2401.13760">pdf</a>, <a href="https://arxiv.org/html/2401.13760v1" title="View HTML" id="html-2401.13760" aria-labelledby="html-2401.13760" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.13760" title="Other formats" id="oth-2401.13760" aria-labelledby="oth-2401.13760">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Early Detection of Treatments Side Effect: A Sequential Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+J">Jiayue Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Boukai,+B">Ben Boukai</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> There are 21 pages, 8 pictures and 4 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Statistics Theory (math.ST); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2504.03619" title="Abstract" id="2504.03619"> arXiv:2504.03619 </a> (cross-list from eess.SP) [<a href="/pdf/2504.03619" title="Download PDF" id="pdf-2504.03619" aria-labelledby="pdf-2504.03619">pdf</a>, <a href="https://arxiv.org/html/2504.03619v1" title="View HTML" id="html-2504.03619" aria-labelledby="html-2504.03619" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03619" title="Other formats" id="oth-2504.03619" aria-labelledby="oth-2504.03619">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A New Statistical Approach to Calibration-Free Localization Using Unlabeled Crowdsourced Data </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Hu,+H">Haozhou Hu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Dhillon,+H+S">Harpreet S. Dhillon</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Buehrer,+R+M">R. Michael Buehrer</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 15 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Signal Processing (eess.SP)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2504.03560" title="Abstract" id="2504.03560"> arXiv:2504.03560 </a> (cross-list from math.OC) [<a href="/pdf/2504.03560" title="Download PDF" id="pdf-2504.03560" aria-labelledby="pdf-2504.03560">pdf</a>, <a href="/format/2504.03560" title="Other formats" id="oth-2504.03560" aria-labelledby="oth-2504.03560">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Stochastic Optimization with Optimal Importance Sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Aolaritei,+L">Liviu Aolaritei</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Van+Parys,+B+P">Bart P.G. Van Parys</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Lam,+H">Henry Lam</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Jordan,+M+I">Michael I. Jordan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2504.03389" title="Abstract" id="2504.03389"> arXiv:2504.03389 </a> (cross-list from math.PR) [<a href="/pdf/2504.03389" title="Download PDF" id="pdf-2504.03389" aria-labelledby="pdf-2504.03389">pdf</a>, <a href="https://arxiv.org/html/2504.03389v1" title="View HTML" id="html-2504.03389" aria-labelledby="html-2504.03389" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03389" title="Other formats" id="oth-2504.03389" aria-labelledby="oth-2504.03389">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Existence and non-existence of consistent estimators in supercritical controlled branching processes </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Braunsteins,+P">Peter Braunsteins</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Hautphenne,+S">Sophie Hautphenne</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Kerlidis,+J">James Kerlidis</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Probability (math.PR)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2504.03228" title="Abstract" id="2504.03228"> arXiv:2504.03228 </a> (cross-list from econ.EM) [<a href="/pdf/2504.03228" title="Download PDF" id="pdf-2504.03228" aria-labelledby="pdf-2504.03228">pdf</a>, <a href="https://arxiv.org/html/2504.03228v1" title="View HTML" id="html-2504.03228" aria-labelledby="html-2504.03228" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03228" title="Other formats" id="oth-2504.03228" aria-labelledby="oth-2504.03228">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Weak instrumental variables due to nonlinearities in panel data: A Super Learner Control Function estimator </div> <div class='list-authors'><a href="https://arxiv.org/search/econ?searchtype=author&query=Marquez,+M+A">Monika Avila Marquez</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Econometrics (econ.EM)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2504.03190" title="Abstract" id="2504.03190"> arXiv:2504.03190 </a> (cross-list from math.OC) [<a href="/pdf/2504.03190" title="Download PDF" id="pdf-2504.03190" aria-labelledby="pdf-2504.03190">pdf</a>, <a href="https://arxiv.org/html/2504.03190v1" title="View HTML" id="html-2504.03190" aria-labelledby="html-2504.03190" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03190" title="Other formats" id="oth-2504.03190" aria-labelledby="oth-2504.03190">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Ground Cost for Optimal Transport of Angular Velocity </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Elamvazhuthi,+K">Karthik Elamvazhuthi</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Halder,+A">Abhishek Halder</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2504.03152" title="Abstract" id="2504.03152"> arXiv:2504.03152 </a> (cross-list from cs.LG) [<a href="/pdf/2504.03152" title="Download PDF" id="pdf-2504.03152" aria-labelledby="pdf-2504.03152">pdf</a>, <a href="https://arxiv.org/html/2504.03152v1" title="View HTML" id="html-2504.03152" aria-labelledby="html-2504.03152" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03152" title="Other formats" id="oth-2504.03152" aria-labelledby="oth-2504.03152">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Safe Screening Rules for Group OWL Models </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bao,+R">Runxue Bao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lu,+Q">Quanchao Lu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Y">Yanfu Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 pages. arXiv admin note: text overlap with <a href="https://arxiv.org/abs/2006.16433" data-arxiv-id="2006.16433" class="link-https">arXiv:2006.16433</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2504.03122" title="Abstract" id="2504.03122"> arXiv:2504.03122 </a> (cross-list from cs.LG) [<a href="/pdf/2504.03122" title="Download PDF" id="pdf-2504.03122" aria-labelledby="pdf-2504.03122">pdf</a>, <a href="https://arxiv.org/html/2504.03122v1" title="View HTML" id="html-2504.03122" aria-labelledby="html-2504.03122" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03122" title="Other formats" id="oth-2504.03122" aria-labelledby="oth-2504.03122">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> From Observation to Orientation: an Adaptive Integer Programming Approach to Intervention Design </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Elrefaey,+A">Abdelmonem Elrefaey</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pan,+R">Rong Pan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2504.03119" title="Abstract" id="2504.03119"> arXiv:2504.03119 </a> (cross-list from cs.SI) [<a href="/pdf/2504.03119" title="Download PDF" id="pdf-2504.03119" aria-labelledby="pdf-2504.03119">pdf</a>, <a href="/format/2504.03119" title="Other formats" id="oth-2504.03119" aria-labelledby="oth-2504.03119">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Graph Network Modeling Techniques for Visualizing Human Mobility Patterns </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Mitra,+S">Sinjini Mitra</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Anuj">Anuj Srivastava</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Roy,+A">Avipsa Roy</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Turaga,+P">Pavan Turaga</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Social and Information Networks (cs.SI)</span>; Artificial Intelligence (cs.AI); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2504.02938" title="Abstract" id="2504.02938"> arXiv:2504.02938 </a> (cross-list from cs.LG) [<a href="/pdf/2504.02938" title="Download PDF" id="pdf-2504.02938" aria-labelledby="pdf-2504.02938">pdf</a>, <a href="https://arxiv.org/html/2504.02938v1" title="View HTML" id="html-2504.02938" aria-labelledby="html-2504.02938" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02938" title="Other formats" id="oth-2504.02938" aria-labelledby="oth-2504.02938">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Graph Attention for Heterogeneous Graphs with Positional Encoding </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Nayak,+N+S">Nikhil Shivakumar Nayak</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Discrete Mathematics (cs.DM); Differential Geometry (math.DG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2504.02900" title="Abstract" id="2504.02900"> arXiv:2504.02900 </a> (cross-list from cs.CV) [<a href="/pdf/2504.02900" title="Download PDF" id="pdf-2504.02900" aria-labelledby="pdf-2504.02900">pdf</a>, <a href="https://arxiv.org/html/2504.02900v1" title="View HTML" id="html-2504.02900" aria-labelledby="html-2504.02900" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02900" title="Other formats" id="oth-2504.02900" aria-labelledby="oth-2504.02900">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Batista,+M+M">Matheus Martins Batista</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Bachelor's thesis </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Machine Learning (cs.LG); Computation (stat.CO); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2504.02842" title="Abstract" id="2504.02842"> arXiv:2504.02842 </a> (cross-list from eess.SP) [<a href="/pdf/2504.02842" title="Download PDF" id="pdf-2504.02842" aria-labelledby="pdf-2504.02842">pdf</a>, <a href="https://arxiv.org/html/2504.02842v1" title="View HTML" id="html-2504.02842" aria-labelledby="html-2504.02842" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02842" title="Other formats" id="oth-2504.02842" aria-labelledby="oth-2504.02842">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Su,+B">Baozhuo Su</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Dou,+Q">Qingli Dou</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+K">Kang Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Qu,+Z">Zhengxian Qu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Deng,+J">Jerry Deng</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Tan,+T">Ting Tan</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Gu,+Y">Yanan Gu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages, 8 figures, 6 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Signal Processing (eess.SP)</span>; Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2504.02841" title="Abstract" id="2504.02841"> arXiv:2504.02841 </a> (cross-list from q-fin.PM) [<a href="/pdf/2504.02841" title="Download PDF" id="pdf-2504.02841" aria-labelledby="pdf-2504.02841">pdf</a>, <a href="https://arxiv.org/html/2504.02841v1" title="View HTML" id="html-2504.02841" aria-labelledby="html-2504.02841" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02841" title="Other formats" id="oth-2504.02841" aria-labelledby="oth-2504.02841">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Dynamic Investment Strategies Through Market Classification and Volatility: A Machine Learning Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/q-fin?searchtype=author&query=Li,+J">Jinhui Li</a>, <a href="https://arxiv.org/search/q-fin?searchtype=author&query=Xie,+W">Wenjia Xie</a>, <a href="https://arxiv.org/search/q-fin?searchtype=author&query=Seco,+L">Luis Seco</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Portfolio Management (q-fin.PM)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2504.02840" title="Abstract" id="2504.02840"> arXiv:2504.02840 </a> (cross-list from q-fin.PM) [<a href="/pdf/2504.02840" title="Download PDF" id="pdf-2504.02840" aria-labelledby="pdf-2504.02840">pdf</a>, <a href="/format/2504.02840" title="Other formats" id="oth-2504.02840" aria-labelledby="oth-2504.02840">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical applications of the 20/60/20 rule in risk management and portfolio optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/q-fin?searchtype=author&query=P%C4%85czek,+K">Kewin P膮czek</a>, <a href="https://arxiv.org/search/q-fin?searchtype=author&query=Jelito,+D">Damian Jelito</a>, <a href="https://arxiv.org/search/q-fin?searchtype=author&query=Pitera,+M">Marcin Pitera</a>, <a href="https://arxiv.org/search/q-fin?searchtype=author&query=Wy%C5%82oma%C5%84ska,+A">Agnieszka Wy艂oma艅ska</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Portfolio Management (q-fin.PM)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2504.02831" title="Abstract" id="2504.02831"> arXiv:2504.02831 </a> (cross-list from math.OC) [<a href="/pdf/2504.02831" title="Download PDF" id="pdf-2504.02831" aria-labelledby="pdf-2504.02831">pdf</a>, <a href="https://arxiv.org/html/2504.02831v1" title="View HTML" id="html-2504.02831" aria-labelledby="html-2504.02831" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.02831" title="Other formats" id="oth-2504.02831" aria-labelledby="oth-2504.02831">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Beyond Smoothness and Convexity: Optimization via sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Seyoum,+N">Nahom Seyoum</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=You,+H">Haoxiang You</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2504.00059" title="Abstract" id="2504.00059"> arXiv:2504.00059 </a> (cross-list from cs.LG) [<a href="/pdf/2504.00059" title="Download PDF" id="pdf-2504.00059" aria-labelledby="pdf-2504.00059">pdf</a>, <a href="https://arxiv.org/html/2504.00059v1" title="View HTML" id="html-2504.00059" aria-labelledby="html-2504.00059" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.00059" title="Other formats" id="oth-2504.00059" aria-labelledby="oth-2504.00059">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ModelRadar: Aspect-based Forecast Evaluation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Cerqueira,+V">Vitor Cerqueira</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Roque,+L">Luis Roque</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Soares,+C">Carlos Soares</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> </dl> <div class='paging'>Total of 232 entries : <span>1-50</span> <a href=/list/stat/recent?skip=50&show=50>51-100</a> <a href=/list/stat/recent?skip=100&show=50>101-150</a> <a href=/list/stat/recent?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/recent?skip=200&show=50>201-232</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/recent?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/recent?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/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">  <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul style="list-style: none; 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