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Statistics Jan 2024

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class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2024-01?skip=0&amp;show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2024-01?skip=0&amp;show=100 rel="nofollow"> more</a> | <a href=/list/stat/2024-01?skip=0&amp;show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2401.00076" title="Abstract" id="2401.00076"> arXiv:2401.00076 </a> [<a href="/pdf/2401.00076" title="Download PDF" id="pdf-2401.00076" aria-labelledby="pdf-2401.00076">pdf</a>, <a href="https://arxiv.org/html/2401.00076v1" title="View HTML" id="html-2401.00076" aria-labelledby="html-2401.00076" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00076" title="Other formats" id="oth-2401.00076" aria-labelledby="oth-2401.00076">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Cluster-Aggregate-Pool (CAP) Ensemble Algorithm for Improved Forecast Performance of influenza-like illness </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Wei,+N">Ningxi Wei</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhou,+X">Xinze Zhou</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Huang,+W">Wei-Min Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=McAndrew,+T">Thomas McAndrew</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='item2'>[2]</a> <a href ="/abs/2401.00097" title="Abstract" id="2401.00097"> arXiv:2401.00097 </a> [<a href="/pdf/2401.00097" title="Download PDF" id="pdf-2401.00097" aria-labelledby="pdf-2401.00097">pdf</a>, <a href="https://arxiv.org/html/2401.00097v3" title="View HTML" id="html-2401.00097" aria-labelledby="html-2401.00097" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00097" title="Other formats" id="oth-2401.00097" aria-labelledby="oth-2401.00097">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Recursive identification with regularization and on-line hyperparameters estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Vau,+B">Bernard Vau</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Airimitoaie,+T">Tudor-Bogdan Airimitoaie</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> <a href="https://hal.science/hal-04337419" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Systems and Control (eess.SY); Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2401.00122" title="Abstract" id="2401.00122"> arXiv:2401.00122 </a> [<a href="/pdf/2401.00122" title="Download PDF" id="pdf-2401.00122" aria-labelledby="pdf-2401.00122">pdf</a>, <a href="https://arxiv.org/html/2401.00122v1" title="View HTML" id="html-2401.00122" aria-labelledby="html-2401.00122" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00122" title="Other formats" id="oth-2401.00122" aria-labelledby="oth-2401.00122">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Eshragh,+A">Ali Eshragh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Yerbury,+L">Luke Yerbury</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Nazari,+A">Asef Nazari</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Roosta,+F">Fred Roosta</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Mahoney,+M+W">Michael W. Mahoney</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 42 pages, 7 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='item4'>[4]</a> <a href ="/abs/2401.00172" title="Abstract" id="2401.00172"> arXiv:2401.00172 </a> [<a href="/pdf/2401.00172" title="Download PDF" id="pdf-2401.00172" aria-labelledby="pdf-2401.00172">pdf</a>, <a href="https://arxiv.org/html/2401.00172v1" title="View HTML" id="html-2401.00172" aria-labelledby="html-2401.00172" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00172" title="Other formats" id="oth-2401.00172" aria-labelledby="oth-2401.00172">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Propagation of Input Tail Uncertainty in Rare-Event Estimation: A Light versus Heavy Tail Dichotomy </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Huang,+Z">Zhiyuan Huang</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Lam,+H">Henry Lam</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Liu,+Z">Zhenyuan Liu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2401.00196" title="Abstract" id="2401.00196"> arXiv:2401.00196 </a> [<a href="/pdf/2401.00196" title="Download PDF" id="pdf-2401.00196" aria-labelledby="pdf-2401.00196">pdf</a>, <a href="https://arxiv.org/html/2401.00196v1" title="View HTML" id="html-2401.00196" aria-labelledby="html-2401.00196" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00196" title="Other formats" id="oth-2401.00196" aria-labelledby="oth-2401.00196">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian principal stratification with longitudinal data and truncation by death </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Grossi,+G">Giulio Grossi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Mariani,+M">Marco Mariani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Mattei,+A">Alessandra Mattei</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Mealli,+F">Fabrizia Mealli</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='item6'>[6]</a> <a href ="/abs/2401.00245" title="Abstract" id="2401.00245"> arXiv:2401.00245 </a> [<a href="/pdf/2401.00245" title="Download PDF" id="pdf-2401.00245" aria-labelledby="pdf-2401.00245">pdf</a>, <a href="https://arxiv.org/html/2401.00245v2" title="View HTML" id="html-2401.00245" aria-labelledby="html-2401.00245" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00245" title="Other formats" id="oth-2401.00245" aria-labelledby="oth-2401.00245">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Alternative Approaches for Estimating Highest-Density Regions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Deliu,+N">Nina Deliu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Liseo,+B">Brunero Liseo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Main paper: 26 pages (7 Figures, 1 Table); Supplementary Material: 36 pages </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> International Statistical Review 2024 </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/2401.00255" title="Abstract" id="2401.00255"> arXiv:2401.00255 </a> [<a href="/pdf/2401.00255" title="Download PDF" id="pdf-2401.00255" aria-labelledby="pdf-2401.00255">pdf</a>, <a href="https://arxiv.org/html/2401.00255v1" title="View HTML" id="html-2401.00255" aria-labelledby="html-2401.00255" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00255" title="Other formats" id="oth-2401.00255" aria-labelledby="oth-2401.00255">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adaptive Rank-based Tests for High Dimensional Mean Problems </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhang,+Y">Yu Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Feng,+L">Long Feng</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='item8'>[8]</a> <a href ="/abs/2401.00257" title="Abstract" id="2401.00257"> arXiv:2401.00257 </a> [<a href="/pdf/2401.00257" title="Download PDF" id="pdf-2401.00257" aria-labelledby="pdf-2401.00257">pdf</a>, <a href="https://arxiv.org/html/2401.00257v1" title="View HTML" id="html-2401.00257" aria-labelledby="html-2401.00257" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00257" title="Other formats" id="oth-2401.00257" aria-labelledby="oth-2401.00257">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Assessing replication success via skeptical mixture priors </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Consonni,+G">Guido Consonni</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Egidi,+L">Leonardo Egidi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 35 pages, 6 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='item9'>[9]</a> <a href ="/abs/2401.00324" title="Abstract" id="2401.00324"> arXiv:2401.00324 </a> [<a href="/pdf/2401.00324" title="Download PDF" id="pdf-2401.00324" aria-labelledby="pdf-2401.00324">pdf</a>, <a href="https://arxiv.org/html/2401.00324v2" title="View HTML" id="html-2401.00324" aria-labelledby="html-2401.00324" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00324" title="Other formats" id="oth-2401.00324" aria-labelledby="oth-2401.00324">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Pesonen,+H">Henri Pesonen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Corander,+J">Jukka Corander</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 11 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='item10'>[10]</a> <a href ="/abs/2401.00344" title="Abstract" id="2401.00344"> arXiv:2401.00344 </a> [<a href="/pdf/2401.00344" title="Download PDF" id="pdf-2401.00344" aria-labelledby="pdf-2401.00344">pdf</a>, <a href="https://arxiv.org/html/2401.00344v1" title="View HTML" id="html-2401.00344" aria-labelledby="html-2401.00344" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00344" title="Other formats" id="oth-2401.00344" aria-labelledby="oth-2401.00344">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Universality in block dependent linear models with applications to nonparametric regression </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Lahiry,+S">Samriddha Lahiry</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Sur,+P">Pragya Sur</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='item11'>[11]</a> <a href ="/abs/2401.00354" title="Abstract" id="2401.00354"> arXiv:2401.00354 </a> [<a href="/pdf/2401.00354" title="Download PDF" id="pdf-2401.00354" aria-labelledby="pdf-2401.00354">pdf</a>, <a href="https://arxiv.org/html/2401.00354v2" title="View HTML" id="html-2401.00354" aria-labelledby="html-2401.00354" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00354" title="Other formats" id="oth-2401.00354" aria-labelledby="oth-2401.00354">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Aletti,+G">Giacomo Aletti</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Flournoy,+N">Nancy Flournoy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=May,+C">Caterina May</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Tommasi,+C">Chiara Tommasi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> new title, with new figures and restructuring to provide clarity </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='item12'>[12]</a> <a href ="/abs/2401.00355" title="Abstract" id="2401.00355"> arXiv:2401.00355 </a> [<a href="/pdf/2401.00355" title="Download PDF" id="pdf-2401.00355" aria-labelledby="pdf-2401.00355">pdf</a>, <a href="https://arxiv.org/html/2401.00355v1" title="View HTML" id="html-2401.00355" aria-labelledby="html-2401.00355" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00355" title="Other formats" id="oth-2401.00355" aria-labelledby="oth-2401.00355">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Understanding Heterogeneity of Automated Vehicles and Its Traffic-level Impact: A Stochastic Behavioral Perspective </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhong,+X">Xinzhi Zhong</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhou,+Y">Yang Zhou</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ahn,+S">Soyoung Ahn</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Chen,+D">Danjue Chen</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='item13'>[13]</a> <a href ="/abs/2401.00395" title="Abstract" id="2401.00395"> arXiv:2401.00395 </a> [<a href="/pdf/2401.00395" title="Download PDF" id="pdf-2401.00395" aria-labelledby="pdf-2401.00395">pdf</a>, <a href="https://arxiv.org/html/2401.00395v2" title="View HTML" id="html-2401.00395" aria-labelledby="html-2401.00395" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00395" title="Other formats" id="oth-2401.00395" aria-labelledby="oth-2401.00395">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Energetic Variational Gaussian Process Regression for Computer Experiments </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Kang,+L">Lulu Kang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Cheng,+Y">Yuanxing Cheng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Wang,+Y">Yiwei Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Liu,+C">Chun Liu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages, 7 figures, 3 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='item14'>[14]</a> <a href ="/abs/2401.00461" title="Abstract" id="2401.00461"> arXiv:2401.00461 </a> [<a href="/pdf/2401.00461" title="Download PDF" id="pdf-2401.00461" aria-labelledby="pdf-2401.00461">pdf</a>, <a href="https://arxiv.org/html/2401.00461v1" title="View HTML" id="html-2401.00461" aria-labelledby="html-2401.00461" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00461" title="Other formats" id="oth-2401.00461" aria-labelledby="oth-2401.00461">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Penalized Functional Linear Cox Regression Model for Spatially-defined Environmental Exposure with an Estimated Buffer Distance </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Lee,+J">Jooyoung Lee</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=He,+Z">Zhibing He</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Roscoe,+C">Charlotte Roscoe</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=James,+P">Peter James</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Xu,+L">Li Xu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Spiegelman,+D">Donna Spiegelman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zucker,+D">David Zucker</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Wang,+M">Molin Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 27 pages, 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='item15'>[15]</a> <a href ="/abs/2401.00510" title="Abstract" id="2401.00510"> arXiv:2401.00510 </a> [<a href="/pdf/2401.00510" title="Download PDF" id="pdf-2401.00510" aria-labelledby="pdf-2401.00510">pdf</a>, <a href="https://arxiv.org/html/2401.00510v2" title="View HTML" id="html-2401.00510" aria-labelledby="html-2401.00510" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00510" title="Other formats" id="oth-2401.00510" aria-labelledby="oth-2401.00510">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Smoothness Estimation for Whittle-Mat茅rn Processes on Closed Riemannian Manifolds </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Korte-Stapff,+M">Moritz Korte-Stapff</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Karvonen,+T">Toni Karvonen</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Moulines,+E">Eric Moulines</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='item16'>[16]</a> <a href ="/abs/2401.00517" title="Abstract" id="2401.00517"> arXiv:2401.00517 </a> [<a href="/pdf/2401.00517" title="Download PDF" id="pdf-2401.00517" aria-labelledby="pdf-2401.00517">pdf</a>, <a href="https://arxiv.org/html/2401.00517v1" title="View HTML" id="html-2401.00517" aria-labelledby="html-2401.00517" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00517" title="Other formats" id="oth-2401.00517" aria-labelledby="oth-2401.00517">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Detecting Imprinting and Maternal Effects Using Monte Carlo Expectation Maximization Algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Aavani,+P">Pooya Aavani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Trindade,+A">Alexandre Trindade</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhang,+F">Fangyuan Zhang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2401.00520" title="Abstract" id="2401.00520"> arXiv:2401.00520 </a> [<a href="/pdf/2401.00520" title="Download PDF" id="pdf-2401.00520" aria-labelledby="pdf-2401.00520">pdf</a>, <a href="https://arxiv.org/html/2401.00520v1" title="View HTML" id="html-2401.00520" aria-labelledby="html-2401.00520" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00520" title="Other formats" id="oth-2401.00520" aria-labelledby="oth-2401.00520">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Monte Carlo Expectation-Maximization algorithm to detect imprinting and maternal effects for discordant sib-pair data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Herath,+R">Ruwani Herath</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Trindade,+A">Alex Trindade</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhang,+F">Fangyuan Zhang</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/2401.00540" title="Abstract" id="2401.00540"> arXiv:2401.00540 </a> [<a href="/pdf/2401.00540" title="Download PDF" id="pdf-2401.00540" aria-labelledby="pdf-2401.00540">pdf</a>, <a href="https://arxiv.org/html/2401.00540v1" title="View HTML" id="html-2401.00540" aria-labelledby="html-2401.00540" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00540" title="Other formats" id="oth-2401.00540" aria-labelledby="oth-2401.00540">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Study Duration Prediction for Clinical Trials with Time-to-Event Endpoints Using Mixture Distributions Accounting for Heterogeneous Population </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhang,+H">Hong Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Pu,+J">Jie Pu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Deng,+S">Shibing Deng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Roychoudhury,+S">Satrajit Roychoudhury</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Chu,+H">Haitao Chu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Robinson,+D">Douglas Robinson</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='item19'>[19]</a> <a href ="/abs/2401.00566" title="Abstract" id="2401.00566"> arXiv:2401.00566 </a> [<a href="/pdf/2401.00566" title="Download PDF" id="pdf-2401.00566" aria-labelledby="pdf-2401.00566">pdf</a>, <a href="https://arxiv.org/html/2401.00566v1" title="View HTML" id="html-2401.00566" aria-labelledby="html-2401.00566" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00566" title="Other formats" id="oth-2401.00566" aria-labelledby="oth-2401.00566">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Change point analysis -- the empirical Hankel transform approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Luki%C4%87,+%C5%BD">沤ikica Luki膰</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Milo%C5%A1evi%C4%87,+B">Bojana Milo拧evi膰</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages </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/2401.00568" title="Abstract" id="2401.00568"> arXiv:2401.00568 </a> [<a href="/pdf/2401.00568" title="Download PDF" id="pdf-2401.00568" aria-labelledby="pdf-2401.00568">pdf</a>, <a href="https://arxiv.org/html/2401.00568v1" title="View HTML" id="html-2401.00568" aria-labelledby="html-2401.00568" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00568" title="Other formats" id="oth-2401.00568" aria-labelledby="oth-2401.00568">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Extrapolation of Relative Treatment Effects using Change-point Survival Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Cooney,+P">Philip Cooney</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=White,+A">Arthur White</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='item21'>[21]</a> <a href ="/abs/2401.00602" title="Abstract" id="2401.00602"> arXiv:2401.00602 </a> [<a href="/pdf/2401.00602" title="Download PDF" id="pdf-2401.00602" aria-labelledby="pdf-2401.00602">pdf</a>, <a href="/format/2401.00602" title="Other formats" id="oth-2401.00602" aria-labelledby="oth-2401.00602">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An analysis of protesting activity and trauma through mathematical and statistical models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Rodriguez,+N">Nancy Rodriguez</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=White,+D">David White</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This paper was published in 2023 </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Crime Science, 12(1):17, 2023 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Analysis of PDEs (math.AP); Dynamical Systems (math.DS) </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2401.00611" title="Abstract" id="2401.00611"> arXiv:2401.00611 </a> [<a href="/pdf/2401.00611" title="Download PDF" id="pdf-2401.00611" aria-labelledby="pdf-2401.00611">pdf</a>, <a href="https://arxiv.org/html/2401.00611v1" title="View HTML" id="html-2401.00611" aria-labelledby="html-2401.00611" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00611" title="Other formats" id="oth-2401.00611" aria-labelledby="oth-2401.00611">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Xiao,+T+Z">Tim Z. Xiao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Liu,+W">Weiyang Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Bamler,+R">Robert Bamler</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at NeurIPS 2023 Workshop on Unifying Representations in Neural Models; 4 pages + appendix </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2401.00624" title="Abstract" id="2401.00624"> arXiv:2401.00624 </a> [<a href="/pdf/2401.00624" title="Download PDF" id="pdf-2401.00624" aria-labelledby="pdf-2401.00624">pdf</a>, <a href="https://arxiv.org/html/2401.00624v3" title="View HTML" id="html-2401.00624" aria-labelledby="html-2401.00624" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00624" title="Other formats" id="oth-2401.00624" aria-labelledby="oth-2401.00624">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Semi-Confirmatory Factor Analysis for High-Dimensional Data with Interconnected Community Structures </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Yang,+Y">Yifan Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ma,+T">Tianzhou Ma</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Bi,+C">Chuan Bi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Chen,+S">Shuo Chen</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/2401.00634" title="Abstract" id="2401.00634"> arXiv:2401.00634 </a> [<a href="/pdf/2401.00634" title="Download PDF" id="pdf-2401.00634" aria-labelledby="pdf-2401.00634">pdf</a>, <a href="https://arxiv.org/html/2401.00634v2" title="View HTML" id="html-2401.00634" aria-labelledby="html-2401.00634" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00634" title="Other formats" id="oth-2401.00634" aria-labelledby="oth-2401.00634">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Lee,+C+J">Changwoo J. Lee</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Symanski,+E">Elaine Symanski</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Rammah,+A">Amal Rammah</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Kang,+D+H">Dong Hun Kang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Hopke,+P+K">Philip K. Hopke</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Park,+E+S">Eun Sug Park</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages, 8 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2401.00641" title="Abstract" id="2401.00641"> arXiv:2401.00641 </a> [<a href="/pdf/2401.00641" title="Download PDF" id="pdf-2401.00641" aria-labelledby="pdf-2401.00641">pdf</a>, <a href="https://arxiv.org/html/2401.00641v3" title="View HTML" id="html-2401.00641" aria-labelledby="html-2401.00641" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00641" title="Other formats" id="oth-2401.00641" aria-labelledby="oth-2401.00641">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Hierarchical Bayesian Modeling for Time-Dependent Inverse Uncertainty Quantification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Wang,+C">Chen Wang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2401.00649" title="Abstract" id="2401.00649"> arXiv:2401.00649 </a> [<a href="/pdf/2401.00649" title="Download PDF" id="pdf-2401.00649" aria-labelledby="pdf-2401.00649">pdf</a>, <a href="https://arxiv.org/html/2401.00649v1" title="View HTML" id="html-2401.00649" aria-labelledby="html-2401.00649" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00649" title="Other formats" id="oth-2401.00649" aria-labelledby="oth-2401.00649">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Linear Model and Extensions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ding,+P">Peng Ding</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='item27'>[27]</a> <a href ="/abs/2401.00667" title="Abstract" id="2401.00667"> arXiv:2401.00667 </a> [<a href="/pdf/2401.00667" title="Download PDF" id="pdf-2401.00667" aria-labelledby="pdf-2401.00667">pdf</a>, <a href="https://arxiv.org/html/2401.00667v2" title="View HTML" id="html-2401.00667" aria-labelledby="html-2401.00667" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00667" title="Other formats" id="oth-2401.00667" aria-labelledby="oth-2401.00667">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Channelling Multimodality Through a Unimodalizing Transport: Warp-U Sampler and Stochastic Bridge Sampling Estimator </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ding,+F">Fei Ding</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=He,+S">Shiyuan He</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Jones,+D+E">David E. Jones</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Meng,+X">Xiao-Li Meng</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='item28'>[28]</a> <a href ="/abs/2401.00691" title="Abstract" id="2401.00691"> arXiv:2401.00691 </a> [<a href="/pdf/2401.00691" title="Download PDF" id="pdf-2401.00691" aria-labelledby="pdf-2401.00691">pdf</a>, <a href="https://arxiv.org/html/2401.00691v3" title="View HTML" id="html-2401.00691" aria-labelledby="html-2401.00691" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00691" title="Other formats" id="oth-2401.00691" aria-labelledby="oth-2401.00691">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Stochastic Gradient Descent for Nonparametric Regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Chen,+X">Xin Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Klusowski,+J+M">Jason M. Klusowski</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='item29'>[29]</a> <a href ="/abs/2401.00749" title="Abstract" id="2401.00749"> arXiv:2401.00749 </a> [<a href="/pdf/2401.00749" title="Download PDF" id="pdf-2401.00749" aria-labelledby="pdf-2401.00749">pdf</a>, <a href="https://arxiv.org/html/2401.00749v3" title="View HTML" id="html-2401.00749" aria-labelledby="html-2401.00749" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00749" title="Other formats" id="oth-2401.00749" aria-labelledby="oth-2401.00749">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Properties of the generalized inverse Gaussian with applications to Monte Carlo simulation and distribution function evaluation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Pe%C3%B1a,+V">Victor Pe帽a</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Jauch,+M">Michael Jauch</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2401.00775" title="Abstract" id="2401.00775"> arXiv:2401.00775 </a> [<a href="/pdf/2401.00775" title="Download PDF" id="pdf-2401.00775" aria-labelledby="pdf-2401.00775">pdf</a>, <a href="https://arxiv.org/html/2401.00775v2" title="View HTML" id="html-2401.00775" aria-labelledby="html-2401.00775" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00775" title="Other formats" id="oth-2401.00775" aria-labelledby="oth-2401.00775">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Recent Advances in Text Analysis </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ke,+Z+T">Zheng Tracy Ke</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ji,+P">Pengsheng Ji</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Jin,+J">Jiashun Jin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Li,+W">Wanshan Li</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annual Review of Statistics and Its Application 2024 11:1 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Information Retrieval (cs.IR) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2401.00800" title="Abstract" id="2401.00800"> arXiv:2401.00800 </a> [<a href="/pdf/2401.00800" title="Download PDF" id="pdf-2401.00800" aria-labelledby="pdf-2401.00800">pdf</a>, <a href="https://arxiv.org/html/2401.00800v2" title="View HTML" id="html-2401.00800" aria-labelledby="html-2401.00800" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00800" title="Other formats" id="oth-2401.00800" aria-labelledby="oth-2401.00800">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Factor Importance Ranking and Selection using Total Indices </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Huang,+C">Chaofan Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Joseph,+V+R">V. Roshan Joseph</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='item32'>[32]</a> <a href ="/abs/2401.00840" title="Abstract" id="2401.00840"> arXiv:2401.00840 </a> [<a href="/pdf/2401.00840" title="Download PDF" id="pdf-2401.00840" aria-labelledby="pdf-2401.00840">pdf</a>, <a href="https://arxiv.org/html/2401.00840v1" title="View HTML" id="html-2401.00840" aria-labelledby="html-2401.00840" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00840" title="Other formats" id="oth-2401.00840" aria-labelledby="oth-2401.00840">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Effect Selection in Additive Models with an Application to Time-to-Event Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Bach,+P">Paul Bach</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Klein,+N">Nadja Klein</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='item33'>[33]</a> <a href ="/abs/2401.00872" title="Abstract" id="2401.00872"> arXiv:2401.00872 </a> [<a href="/pdf/2401.00872" title="Download PDF" id="pdf-2401.00872" aria-labelledby="pdf-2401.00872">pdf</a>, <a href="/format/2401.00872" title="Other formats" id="oth-2401.00872" aria-labelledby="oth-2401.00872">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On discriminating between Libby-Novick generalized beta and Kumaraswamy distributions: theory and methods </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ghosh,+I">Indranil Ghosh</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Research in Statistics (2023) </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/2401.00945" title="Abstract" id="2401.00945"> arXiv:2401.00945 </a> [<a href="/pdf/2401.00945" title="Download PDF" id="pdf-2401.00945" aria-labelledby="pdf-2401.00945">pdf</a>, <a href="https://arxiv.org/html/2401.00945v1" title="View HTML" id="html-2401.00945" aria-labelledby="html-2401.00945" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00945" title="Other formats" id="oth-2401.00945" aria-labelledby="oth-2401.00945">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A review of Monte Carlo-based versions of the EM algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ruth,+W">William Ruth</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2401.00952" title="Abstract" id="2401.00952"> arXiv:2401.00952 </a> [<a href="/pdf/2401.00952" title="Download PDF" id="pdf-2401.00952" aria-labelledby="pdf-2401.00952">pdf</a>, <a href="https://arxiv.org/html/2401.00952v2" title="View HTML" id="html-2401.00952" aria-labelledby="html-2401.00952" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00952" title="Other formats" id="oth-2401.00952" aria-labelledby="oth-2401.00952">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Rank of the Odd Normal Out </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Labo,+P+T">Philip T. Labo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 42 pages, 8 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2401.00966" title="Abstract" id="2401.00966"> arXiv:2401.00966 </a> [<a href="/pdf/2401.00966" title="Download PDF" id="pdf-2401.00966" aria-labelledby="pdf-2401.00966">pdf</a>, <a href="https://arxiv.org/html/2401.00966v1" title="View HTML" id="html-2401.00966" aria-labelledby="html-2401.00966" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00966" title="Other formats" id="oth-2401.00966" aria-labelledby="oth-2401.00966">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improved estimators in Bell regression model with application </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Seifollahi,+S">Solmaz Seifollahi</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Bevrani,+H">Hossein Bevrani</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Algamal,+Z+Y">Zakariya Yahya Algamal</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages; 1 figures and 2 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Applications (stat.AP); Computation (stat.CO) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2401.00987" title="Abstract" id="2401.00987"> arXiv:2401.00987 </a> [<a href="/pdf/2401.00987" title="Download PDF" id="pdf-2401.00987" aria-labelledby="pdf-2401.00987">pdf</a>, <a href="https://arxiv.org/html/2401.00987v2" title="View HTML" id="html-2401.00987" aria-labelledby="html-2401.00987" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.00987" title="Other formats" id="oth-2401.00987" aria-labelledby="oth-2401.00987">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Inverting estimating equations for causal inference on quantiles </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Cheng,+C">Chao Cheng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Li,+F">Fan Li</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2401.01012" title="Abstract" id="2401.01012"> arXiv:2401.01012 </a> [<a href="/pdf/2401.01012" title="Download PDF" id="pdf-2401.01012" aria-labelledby="pdf-2401.01012">pdf</a>, <a href="https://arxiv.org/html/2401.01012v1" title="View HTML" id="html-2401.01012" aria-labelledby="html-2401.01012" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01012" title="Other formats" id="oth-2401.01012" aria-labelledby="oth-2401.01012">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Liberating dimension and spectral norm: A universal approach to spectral properties of sample covariance matrices </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Yin,+Y">Yanqing Yin</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2401.01064" title="Abstract" id="2401.01064"> arXiv:2401.01064 </a> [<a href="/pdf/2401.01064" title="Download PDF" id="pdf-2401.01064" aria-labelledby="pdf-2401.01064">pdf</a>, <a href="https://arxiv.org/html/2401.01064v1" title="View HTML" id="html-2401.01064" aria-labelledby="html-2401.01064" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01064" title="Other formats" id="oth-2401.01064" aria-labelledby="oth-2401.01064">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Liao,+X">Xiaosai Liao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Li,+X">Xinjue Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Fan,+Q">Qingliang Fan</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='item40'>[40]</a> <a href ="/abs/2401.01148" title="Abstract" id="2401.01148"> arXiv:2401.01148 </a> [<a href="/pdf/2401.01148" title="Download PDF" id="pdf-2401.01148" aria-labelledby="pdf-2401.01148">pdf</a>, <a href="https://arxiv.org/html/2401.01148v4" title="View HTML" id="html-2401.01148" aria-labelledby="html-2401.01148" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01148" title="Other formats" id="oth-2401.01148" aria-labelledby="oth-2401.01148">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PAC-Bayes-Chernoff bounds for unbounded losses </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Casado,+I">Ioar Casado</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ortega,+L+A">Luis A. Ortega</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=P%C3%A9rez,+A">Aritz P茅rez</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Masegosa,+A+R">Andr茅s R. Masegosa</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Camera-ready version for NeurIPS 2024 </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='item41'>[41]</a> <a href ="/abs/2401.01231" title="Abstract" id="2401.01231"> arXiv:2401.01231 </a> [<a href="/pdf/2401.01231" title="Download PDF" id="pdf-2401.01231" aria-labelledby="pdf-2401.01231">pdf</a>, <a href="https://arxiv.org/html/2401.01231v1" title="View HTML" id="html-2401.01231" aria-labelledby="html-2401.01231" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01231" title="Other formats" id="oth-2401.01231" aria-labelledby="oth-2401.01231">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Movement of insurgent gangs: A Bayesian kernel density model for incomplete temporal data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Karthik">Karthik Sriram</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Gupta,+D">Dhruv Gupta</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Parikh,+R">Rajiv Parikh</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='item42'>[42]</a> <a href ="/abs/2401.01234" title="Abstract" id="2401.01234"> arXiv:2401.01234 </a> [<a href="/pdf/2401.01234" title="Download PDF" id="pdf-2401.01234" aria-labelledby="pdf-2401.01234">pdf</a>, <a href="https://arxiv.org/html/2401.01234v1" title="View HTML" id="html-2401.01234" aria-labelledby="html-2401.01234" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01234" title="Other formats" id="oth-2401.01234" aria-labelledby="oth-2401.01234">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Li,+J">Jinqing Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ma,+J">Jun Ma</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">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2401.01264" title="Abstract" id="2401.01264"> arXiv:2401.01264 </a> [<a href="/pdf/2401.01264" title="Download PDF" id="pdf-2401.01264" aria-labelledby="pdf-2401.01264">pdf</a>, <a href="/format/2401.01264" title="Other formats" id="oth-2401.01264" aria-labelledby="oth-2401.01264">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multiple Randomization Designs: Estimation and Inference with Interference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Masoero,+L">Lorenzo Masoero</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Vijaykumar,+S">Suhas Vijaykumar</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Richardson,+T">Thomas Richardson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=McQueen,+J">James McQueen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Rosen,+I">Ido Rosen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Burdick,+B">Brian Burdick</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Bajari,+P">Pat Bajari</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Imbens,+G">Guido Imbens</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2401.01294" title="Abstract" id="2401.01294"> arXiv:2401.01294 </a> [<a href="/pdf/2401.01294" title="Download PDF" id="pdf-2401.01294" aria-labelledby="pdf-2401.01294">pdf</a>, <a href="https://arxiv.org/html/2401.01294v1" title="View HTML" id="html-2401.01294" aria-labelledby="html-2401.01294" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01294" title="Other formats" id="oth-2401.01294" aria-labelledby="oth-2401.01294">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient Sparse Least Absolute Deviation Regression with Differential Privacy </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Liu,+W">Weidong Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Mao,+X">Xiaojun Mao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhang,+X">Xiaofei Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Zhang,+X">Xin Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> IEEE Transactions on Information Forensics and Security, 2024 </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='item45'>[45]</a> <a href ="/abs/2401.01478" title="Abstract" id="2401.01478"> arXiv:2401.01478 </a> [<a href="/pdf/2401.01478" title="Download PDF" id="pdf-2401.01478" aria-labelledby="pdf-2401.01478">pdf</a>, <a href="https://arxiv.org/html/2401.01478v1" title="View HTML" id="html-2401.01478" aria-labelledby="html-2401.01478" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01478" title="Other formats" id="oth-2401.01478" aria-labelledby="oth-2401.01478">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Penalty Parameter Selection in Deconvolution by Estimating the Risk for a Smaller Sample Size </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Kent,+D">David Kent</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='item46'>[46]</a> <a href ="/abs/2401.01500" title="Abstract" id="2401.01500"> arXiv:2401.01500 </a> [<a href="/pdf/2401.01500" title="Download PDF" id="pdf-2401.01500" aria-labelledby="pdf-2401.01500">pdf</a>, <a href="https://arxiv.org/html/2401.01500v2" title="View HTML" id="html-2401.01500" aria-labelledby="html-2401.01500" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01500" title="Other formats" id="oth-2401.01500" aria-labelledby="oth-2401.01500">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Log-concave Density Estimation with Independent Components </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Kubal,+S">Sharvaj Kubal</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Campbell,+C">Christian Campbell</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Robeva,+E">Elina Robeva</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 44 pages, 10 figures. Various improvements over the previous version (v1), and substantial reorganization of Section 3. Some missing assumptions required by Theorem 3.10 of the previous version (v1) have now been made explicit (Lemma 3.13 of the current version) </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='item47'>[47]</a> <a href ="/abs/2401.01628" title="Abstract" id="2401.01628"> arXiv:2401.01628 </a> [<a href="/pdf/2401.01628" title="Download PDF" id="pdf-2401.01628" aria-labelledby="pdf-2401.01628">pdf</a>, <a href="https://arxiv.org/html/2401.01628v2" title="View HTML" id="html-2401.01628" aria-labelledby="html-2401.01628" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01628" title="Other formats" id="oth-2401.01628" aria-labelledby="oth-2401.01628">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the use of the M-quantiles for outlier detection in multivariate data </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&amp;query=Chakroborty,+S">Sajal Chakroborty</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Iyer,+R">Ram Iyer</a>, <a href="https://arxiv.org/search/math?searchtype=author&amp;query=Trindade,+A+A">A. Alexandre Trindade</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2401.01665" title="Abstract" id="2401.01665"> arXiv:2401.01665 </a> [<a href="/pdf/2401.01665" title="Download PDF" id="pdf-2401.01665" aria-labelledby="pdf-2401.01665">pdf</a>, <a href="https://arxiv.org/html/2401.01665v1" title="View HTML" id="html-2401.01665" aria-labelledby="html-2401.01665" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01665" title="Other formats" id="oth-2401.01665" aria-labelledby="oth-2401.01665">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Wild Bootstrap Procedure for the Identification of Optimal Groups in Singular Spectrum Analysis </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Movahedifar,+M">Maryam Movahedifar</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Preusse,+F">Friederike Preusse</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Vesely,+A">Anna Vesely</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ochieng,+D">Daniel Ochieng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Dickhaus,+T">Thorsten Dickhaus</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> We have 22 pages and 5 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='item49'>[49]</a> <a href ="/abs/2401.01713" title="Abstract" id="2401.01713"> arXiv:2401.01713 </a> [<a href="/pdf/2401.01713" title="Download PDF" id="pdf-2401.01713" aria-labelledby="pdf-2401.01713">pdf</a>, <a href="https://arxiv.org/html/2401.01713v1" title="View HTML" id="html-2401.01713" aria-labelledby="html-2401.01713" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01713" title="Other formats" id="oth-2401.01713" aria-labelledby="oth-2401.01713">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multiple testing of interval composite null hypotheses using randomized p-values </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Ochieng,+D">Daniel Ochieng</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2401.01784" title="Abstract" id="2401.01784"> arXiv:2401.01784 </a> [<a href="/pdf/2401.01784" title="Download PDF" id="pdf-2401.01784" aria-labelledby="pdf-2401.01784">pdf</a>, <a href="https://arxiv.org/html/2401.01784v1" title="View HTML" id="html-2401.01784" aria-labelledby="html-2401.01784" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2401.01784" title="Other formats" id="oth-2401.01784" aria-labelledby="oth-2401.01784">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Copulas.jl: A fully Distributions.jl-compliant copula package </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Laverny,+O">Oskar Laverny</a>, <a href="https://arxiv.org/search/stat?searchtype=author&amp;query=Jimenez,+S">Santiago Jimenez</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 858 entries : <span>1-50</span> <a href=/list/stat/2024-01?skip=50&amp;show=50>51-100</a> <a href=/list/stat/2024-01?skip=100&amp;show=50>101-150</a> <a href=/list/stat/2024-01?skip=150&amp;show=50>151-200</a> <span>...</span> <a href=/list/stat/2024-01?skip=850&amp;show=50>851-858</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2024-01?skip=0&amp;show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2024-01?skip=0&amp;show=100 rel="nofollow"> more</a> | <a href=/list/stat/2024-01?skip=0&amp;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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