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href="/list/stat/recent?skip=186&show=50"> Fri, 21 Mar 2025 </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 223 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>201-223</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>Thu, 27 Mar 2025 (showing 33 of 33 entries )</h3> <dt> <a name='item1'>[1]</a> <a href ="/abs/2503.20736" title="Abstract" id="2503.20736"> arXiv:2503.20736 </a> [<a href="/pdf/2503.20736" title="Download PDF" id="pdf-2503.20736" aria-labelledby="pdf-2503.20736">pdf</a>, <a href="https://arxiv.org/html/2503.20736v1" title="View HTML" id="html-2503.20736" aria-labelledby="html-2503.20736" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20736" title="Other formats" id="oth-2503.20736" aria-labelledby="oth-2503.20736">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Parameter estimation for fractional autoregressive process with periodic structure </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Cai,+C">Chunhao Cai</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Shang,+Y">Yiwu Shang</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='item2'>[2]</a> <a href ="/abs/2503.20725" title="Abstract" id="2503.20725"> arXiv:2503.20725 </a> [<a href="/pdf/2503.20725" title="Download PDF" id="pdf-2503.20725" aria-labelledby="pdf-2503.20725">pdf</a>, <a href="https://arxiv.org/html/2503.20725v1" title="View HTML" id="html-2503.20725" aria-labelledby="html-2503.20725" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20725" title="Other formats" id="oth-2503.20725" aria-labelledby="oth-2503.20725">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Continual learning via probabilistic exchangeable sequence modelling </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Xing,+H">Hanwen Xing</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yau,+C">Christopher Yau</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='item3'>[3]</a> <a href ="/abs/2503.20678" title="Abstract" id="2503.20678"> arXiv:2503.20678 </a> [<a href="/pdf/2503.20678" title="Download PDF" id="pdf-2503.20678" aria-labelledby="pdf-2503.20678">pdf</a>, <a href="https://arxiv.org/html/2503.20678v1" title="View HTML" id="html-2503.20678" aria-labelledby="html-2503.20678" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20678" title="Other formats" id="oth-2503.20678" aria-labelledby="oth-2503.20678">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Asset price movement prediction using empirical mode decomposition and Gaussian mixture models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Palma,+G+R">Gabriel R. Palma</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Skocze%C5%84,+M">Mariusz Skocze艅</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Maguire,+P">Phil Maguire</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2503.20627" title="Abstract" id="2503.20627"> arXiv:2503.20627 </a> [<a href="/pdf/2503.20627" title="Download PDF" id="pdf-2503.20627" aria-labelledby="pdf-2503.20627">pdf</a>, <a href="/format/2503.20627" title="Other formats" id="oth-2503.20627" aria-labelledby="oth-2503.20627">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> False Discovery estimation in Record Linkage </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Robach,+K">Kayan茅 Robach</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hof,+M+H">Michel H. Hof</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=van+de+Wiel,+M+A">Mark A. van de Wiel</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='item5'>[5]</a> <a href ="/abs/2503.20546" title="Abstract" id="2503.20546"> arXiv:2503.20546 </a> [<a href="/pdf/2503.20546" title="Download PDF" id="pdf-2503.20546" aria-labelledby="pdf-2503.20546">pdf</a>, <a href="https://arxiv.org/html/2503.20546v1" title="View HTML" id="html-2503.20546" aria-labelledby="html-2503.20546" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20546" title="Other formats" id="oth-2503.20546" aria-labelledby="oth-2503.20546">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hafer,+M">Marlies Hafer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Marx,+A">Alexander Marx</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages plus appendix </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='item6'>[6]</a> <a href ="/abs/2503.20528" title="Abstract" id="2503.20528"> arXiv:2503.20528 </a> [<a href="/pdf/2503.20528" title="Download PDF" id="pdf-2503.20528" aria-labelledby="pdf-2503.20528">pdf</a>, <a href="https://arxiv.org/html/2503.20528v1" title="View HTML" id="html-2503.20528" aria-labelledby="html-2503.20528" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20528" title="Other formats" id="oth-2503.20528" aria-labelledby="oth-2503.20528">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Interpretable Deep Neural Network for Modeling Functional Surrogates </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Jeon,+Y">Yeseul Jeon</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Guhaniyogi,+R">Rajarshi Guhaniyogi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Scheffler,+A">Aaron Scheffler</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Francom,+D">Devin Francom</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pasqualini,+D">Donatella Pasqualini</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='item7'>[7]</a> <a href ="/abs/2503.20495" title="Abstract" id="2503.20495"> arXiv:2503.20495 </a> [<a href="/pdf/2503.20495" title="Download PDF" id="pdf-2503.20495" aria-labelledby="pdf-2503.20495">pdf</a>, <a href="https://arxiv.org/html/2503.20495v1" title="View HTML" id="html-2503.20495" aria-labelledby="html-2503.20495" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20495" title="Other formats" id="oth-2503.20495" aria-labelledby="oth-2503.20495">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Revisiting general source condition in learning over a Hilbert space </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Gupta,+N">Naveen Gupta</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Sivananthan,+S">S. Sivananthan</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='item8'>[8]</a> <a href ="/abs/2503.20410" title="Abstract" id="2503.20410"> arXiv:2503.20410 </a> [<a href="/pdf/2503.20410" title="Download PDF" id="pdf-2503.20410" aria-labelledby="pdf-2503.20410">pdf</a>, <a href="https://arxiv.org/html/2503.20410v1" title="View HTML" id="html-2503.20410" aria-labelledby="html-2503.20410" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20410" title="Other formats" id="oth-2503.20410" aria-labelledby="oth-2503.20410">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Stratigakos,+A">Akylas Stratigakos</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Andrianesis,+P">Panagiotis Andrianesis</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submitted to IEEE-TSG </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='item9'>[9]</a> <a href ="/abs/2503.20401" title="Abstract" id="2503.20401"> arXiv:2503.20401 </a> [<a href="/pdf/2503.20401" title="Download PDF" id="pdf-2503.20401" aria-labelledby="pdf-2503.20401">pdf</a>, <a href="/format/2503.20401" title="Other formats" id="oth-2503.20401" aria-labelledby="oth-2503.20401">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation and variable selection in nonlinear mixed-effects models </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Caillebotte,+A">Antoine Caillebotte</a> (MaIAGE, GQE-Le Moulon), <a href="https://arxiv.org/search/math?searchtype=author&query=Kuhn,+E">Estelle Kuhn</a> (MaIAGE), <a href="https://arxiv.org/search/math?searchtype=author&query=Lemler,+S">Sarah Lemler</a> (MICS)</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/2503.20393" title="Abstract" id="2503.20393"> arXiv:2503.20393 </a> [<a href="/pdf/2503.20393" title="Download PDF" id="pdf-2503.20393" aria-labelledby="pdf-2503.20393">pdf</a>, <a href="https://arxiv.org/html/2503.20393v1" title="View HTML" id="html-2503.20393" aria-labelledby="html-2503.20393" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20393" title="Other formats" id="oth-2503.20393" aria-labelledby="oth-2503.20393">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A new coefficient of separation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fuchs,+S">Sebastian Fuchs</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Limbach,+C">Carsten Limbach</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Langthaler,+P+B">Patrick B. Langthaler</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 50 pages, 3 tables, 13 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2503.20272" title="Abstract" id="2503.20272"> arXiv:2503.20272 </a> [<a href="/pdf/2503.20272" title="Download PDF" id="pdf-2503.20272" aria-labelledby="pdf-2503.20272">pdf</a>, <a href="https://arxiv.org/html/2503.20272v1" title="View HTML" id="html-2503.20272" aria-labelledby="html-2503.20272" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20272" title="Other formats" id="oth-2503.20272" aria-labelledby="oth-2503.20272">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An $(蔚,未)$-accurate level set estimation with a stopping criterion </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ishibashi,+H">Hideaki Ishibashi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Matsui,+K">Kota Matsui</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kutsukake,+K">Kentaro Kutsukake</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hino,+H">Hideitsu Hino</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='item12'>[12]</a> <a href ="/abs/2503.20250" title="Abstract" id="2503.20250"> arXiv:2503.20250 </a> [<a href="/pdf/2503.20250" title="Download PDF" id="pdf-2503.20250" aria-labelledby="pdf-2503.20250">pdf</a>, <a href="https://arxiv.org/html/2503.20250v1" title="View HTML" id="html-2503.20250" aria-labelledby="html-2503.20250" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20250" title="Other formats" id="oth-2503.20250" aria-labelledby="oth-2503.20250">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fast and accurate emulation of complex dynamic simulators </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Heo,+J">Junoh Heo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 27 pages including references </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2503.20193" title="Abstract" id="2503.20193"> arXiv:2503.20193 </a> [<a href="/pdf/2503.20193" title="Download PDF" id="pdf-2503.20193" aria-labelledby="pdf-2503.20193">pdf</a>, <a href="https://arxiv.org/html/2503.20193v1" title="View HTML" id="html-2503.20193" aria-labelledby="html-2503.20193" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20193" title="Other formats" id="oth-2503.20193" aria-labelledby="oth-2503.20193">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Polyanskiy,+Y">Yury Polyanskiy</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Sellke,+M">Mark Sellke</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 43 pages </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='item14'>[14]</a> <a href ="/abs/2503.20131" title="Abstract" id="2503.20131"> arXiv:2503.20131 </a> [<a href="/pdf/2503.20131" title="Download PDF" id="pdf-2503.20131" aria-labelledby="pdf-2503.20131">pdf</a>, <a href="https://arxiv.org/html/2503.20131v1" title="View HTML" id="html-2503.20131" aria-labelledby="html-2503.20131" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20131" title="Other formats" id="oth-2503.20131" aria-labelledby="oth-2503.20131">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Signed Rank Chart For Tied Observations: An Application of Deep Learning Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mortezanejad,+S+A+F">Seyedeh Azadeh Fallah Mortezanejad</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+R">Ruochen Wang</a> (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu, China)</div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2503.20120" title="Abstract" id="2503.20120"> arXiv:2503.20120 </a> [<a href="/pdf/2503.20120" title="Download PDF" id="pdf-2503.20120" aria-labelledby="pdf-2503.20120">pdf</a>, <a href="https://arxiv.org/html/2503.20120v1" title="View HTML" id="html-2503.20120" aria-labelledby="html-2503.20120" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20120" title="Other formats" id="oth-2503.20120" aria-labelledby="oth-2503.20120">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wen,+H">Hongwei Wen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Betken,+A">Annika Betken</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Koolen,+W">Wouter Koolen</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='item16'>[16]</a> <a href ="/abs/2503.20085" title="Abstract" id="2503.20085"> arXiv:2503.20085 </a> [<a href="/pdf/2503.20085" title="Download PDF" id="pdf-2503.20085" aria-labelledby="pdf-2503.20085">pdf</a>, <a href="https://arxiv.org/html/2503.20085v1" title="View HTML" id="html-2503.20085" aria-labelledby="html-2503.20085" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20085" title="Other formats" id="oth-2503.20085" aria-labelledby="oth-2503.20085">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical Inference on the Miss Distance Compared to Collision Probability for Conjunction Analysis </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Elkantassi,+S">Soumaya Elkantassi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chavez-Demoulin,+V">Val茅rie Chavez-Demoulin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Davison,+A+C">Anthony C. Davison</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hejduk,+M+D">Matthew D. Hejduk</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Morris,+H+A">Hunter A. Morris</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2503.20082" title="Abstract" id="2503.20082"> arXiv:2503.20082 </a> [<a href="/pdf/2503.20082" title="Download PDF" id="pdf-2503.20082" aria-labelledby="pdf-2503.20082">pdf</a>, <a href="https://arxiv.org/html/2503.20082v1" title="View HTML" id="html-2503.20082" aria-labelledby="html-2503.20082" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20082" title="Other formats" id="oth-2503.20082" aria-labelledby="oth-2503.20082">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimizing Forecast Combination Weights Using Exponentially Weighted Hit and Win Rate Losses </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=van+Eijk,+H+D">Henry D. van Eijk</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ghosh,+S+K">Sujit K. Ghosh</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submitted for publication </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2503.20072" title="Abstract" id="2503.20072"> arXiv:2503.20072 </a> [<a href="/pdf/2503.20072" title="Download PDF" id="pdf-2503.20072" aria-labelledby="pdf-2503.20072">pdf</a>, <a href="https://arxiv.org/html/2503.20072v1" title="View HTML" id="html-2503.20072" aria-labelledby="html-2503.20072" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20072" title="Other formats" id="oth-2503.20072" aria-labelledby="oth-2503.20072">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Functional structural equation models with out-of-sample guarantees </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Kennerberg,+P">Philip Kennerberg</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Wit,+E+C">Ernst C. Wit</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages, 4 figures, with supplementary materials containing proofs. arXiv admin note: text overlap with <a href="https://arxiv.org/abs/2412.00412" data-arxiv-id="2412.00412" class="link-https">arXiv:2412.00412</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2503.19996" title="Abstract" id="2503.19996"> arXiv:2503.19996 </a> [<a href="/pdf/2503.19996" title="Download PDF" id="pdf-2503.19996" aria-labelledby="pdf-2503.19996">pdf</a>, <a href="https://arxiv.org/html/2503.19996v1" title="View HTML" id="html-2503.19996" aria-labelledby="html-2503.19996" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19996" title="Other formats" id="oth-2503.19996" aria-labelledby="oth-2503.19996">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian measures of leverage and influence </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Plummer,+M">Martyn Plummer</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 9 figures, 2 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2503.19942" title="Abstract" id="2503.19942"> arXiv:2503.19942 </a> [<a href="/pdf/2503.19942" title="Download PDF" id="pdf-2503.19942" aria-labelledby="pdf-2503.19942">pdf</a>, <a href="https://arxiv.org/html/2503.19942v1" title="View HTML" id="html-2503.19942" aria-labelledby="html-2503.19942" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19942" title="Other formats" id="oth-2503.19942" aria-labelledby="oth-2503.19942">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A stochastic gradient descent algorithm with random search directions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gbaguidi,+E">Em茅ric Gbaguidi</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Optimization and Control (math.OC); Probability (math.PR) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2503.20767" title="Abstract" id="2503.20767"> arXiv:2503.20767 </a> (cross-list from cs.LG) [<a href="/pdf/2503.20767" title="Download PDF" id="pdf-2503.20767" aria-labelledby="pdf-2503.20767">pdf</a>, <a href="https://arxiv.org/html/2503.20767v1" title="View HTML" id="html-2503.20767" aria-labelledby="html-2503.20767" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20767" title="Other formats" id="oth-2503.20767" aria-labelledby="oth-2503.20767">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Reliable algorithm selection for machine learning-guided design </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Fannjiang,+C">Clara Fannjiang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Park,+J+W">Ji Won Park</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 7 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Quantitative Methods (q-bio.QM); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2503.20595" title="Abstract" id="2503.20595"> arXiv:2503.20595 </a> (cross-list from cs.LG) [<a href="/pdf/2503.20595" title="Download PDF" id="pdf-2503.20595" aria-labelledby="pdf-2503.20595">pdf</a>, <a href="https://arxiv.org/html/2503.20595v1" title="View HTML" id="html-2503.20595" aria-labelledby="html-2503.20595" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20595" title="Other formats" id="oth-2503.20595" aria-labelledby="oth-2503.20595">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Diffusion Counterfactuals for Image Regressors </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ha,+T+D">Trung Duc Ha</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bender,+S">Sidney Bender</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 Pages, 5 Figures, Accepted at 3rd World Conference on eXplainable Artificial Intelligence (xAI-2025), Code and reproduction instructions available on GitHub, see <a href="https://github.com/DevinTDHa/Diffusion-Counterfactuals-for-Image-Regressors" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2503.20573" title="Abstract" id="2503.20573"> arXiv:2503.20573 </a> (cross-list from math.PR) [<a href="/pdf/2503.20573" title="Download PDF" id="pdf-2503.20573" aria-labelledby="pdf-2503.20573">pdf</a>, <a href="/format/2503.20573" title="Other formats" id="oth-2503.20573" aria-labelledby="oth-2503.20573">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Stochastic Transport Maps in Diffusion Models and Sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Zhang,+X">Xicheng Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages </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='item24'>[24]</a> <a href ="/abs/2503.20561" title="Abstract" id="2503.20561"> arXiv:2503.20561 </a> (cross-list from cs.LG) [<a href="/pdf/2503.20561" title="Download PDF" id="pdf-2503.20561" aria-labelledby="pdf-2503.20561">pdf</a>, <a href="https://arxiv.org/html/2503.20561v1" title="View HTML" id="html-2503.20561" aria-labelledby="html-2503.20561" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20561" title="Other formats" id="oth-2503.20561" aria-labelledby="oth-2503.20561">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Theoretical Framework for Prompt Engineering: Approximating Smooth Functions with Transformer Prompts </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Nakada,+R">Ryumei Nakada</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ji,+W">Wenlong Ji</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cai,+T">Tianxi Cai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zou,+J">James Zou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+L">Linjun Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 55 pages, 2 figures </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='item25'>[25]</a> <a href ="/abs/2503.20513" title="Abstract" id="2503.20513"> arXiv:2503.20513 </a> (cross-list from q-bio.BM) [<a href="/pdf/2503.20513" title="Download PDF" id="pdf-2503.20513" aria-labelledby="pdf-2503.20513">pdf</a>, <a href="https://arxiv.org/html/2503.20513v1" title="View HTML" id="html-2503.20513" aria-labelledby="html-2503.20513" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20513" title="Other formats" id="oth-2503.20513" aria-labelledby="oth-2503.20513">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Principal Submanifold-based Approach for Clustering and Multiscale RNA Correction </div> <div class='list-authors'><a href="https://arxiv.org/search/q-bio?searchtype=author&query=Wu,+M">Menghao Wu</a>, <a href="https://arxiv.org/search/q-bio?searchtype=author&query=Yao,+Z">Zhigang Yao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages, 15 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Biomolecules (q-bio.BM)</span>; Quantitative Methods (q-bio.QM); Applications (stat.AP) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2503.20505" title="Abstract" id="2503.20505"> arXiv:2503.20505 </a> (cross-list from cs.LG) [<a href="/pdf/2503.20505" title="Download PDF" id="pdf-2503.20505" aria-labelledby="pdf-2503.20505">pdf</a>, <a href="/format/2503.20505" title="Other formats" id="oth-2503.20505" aria-labelledby="oth-2503.20505">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Riemannian Optimization on Relaxed Indicator Matrix Manifold </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Yuan,+J">Jinghui Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xie,+F">Fangyuan Xie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nie,+F">Feiping Nie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+X">Xuelong Li</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='item27'>[27]</a> <a href ="/abs/2503.20493" title="Abstract" id="2503.20493"> arXiv:2503.20493 </a> (cross-list from eess.SY) [<a href="/pdf/2503.20493" title="Download PDF" id="pdf-2503.20493" aria-labelledby="pdf-2503.20493">pdf</a>, <a href="https://arxiv.org/html/2503.20493v1" title="View HTML" id="html-2503.20493" aria-labelledby="html-2503.20493" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20493" title="Other formats" id="oth-2503.20493" aria-labelledby="oth-2503.20493">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Vlaswinkel,+M">Maarten Vlaswinkel</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Antunes,+D">Duarte Antunes</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Willems,+F">Frank Willems</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 7 figures, 3 tables; Submitted to Control Engineering Practice's special issue on 'Bayesian optimization for data-driven modeling, optimization and control: Towards enhancing performance, efficiency, and sustainability in industrial, energy and biomedical systems' </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2503.20473" title="Abstract" id="2503.20473"> arXiv:2503.20473 </a> (cross-list from math.PR) [<a href="/pdf/2503.20473" title="Download PDF" id="pdf-2503.20473" aria-labelledby="pdf-2503.20473">pdf</a>, <a href="https://arxiv.org/html/2503.20473v1" title="View HTML" id="html-2503.20473" aria-labelledby="html-2503.20473" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20473" title="Other formats" id="oth-2503.20473" aria-labelledby="oth-2503.20473">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Concentration inequalities for the sum in sampling without replacement: an approach via majorization </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Ai,+J">Jianhang Ai</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ku%C5%BEelka,+O">Ond艡ej Ku啪elka</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Pelekis,+C">Christos Pelekis</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">Probability (math.PR)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2503.20466" title="Abstract" id="2503.20466"> arXiv:2503.20466 </a> (cross-list from physics.ao-ph) [<a href="/pdf/2503.20466" title="Download PDF" id="pdf-2503.20466" aria-labelledby="pdf-2503.20466">pdf</a>, <a href="https://arxiv.org/html/2503.20466v1" title="View HTML" id="html-2503.20466" aria-labelledby="html-2503.20466" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20466" title="Other formats" id="oth-2503.20466" aria-labelledby="oth-2503.20466">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Data-driven Seasonal Climate Predictions via Variational Inference and Transformers </div> <div class='list-authors'><a href="https://arxiv.org/search/physics?searchtype=author&query=Palma,+L">Llu铆s Palma</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Peraza,+A">Alejandro Peraza</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Civantos,+D">David Civantos</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Duarte,+A">Amanda Duarte</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Materia,+S">Stefano Materia</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Mu%C3%B1oz,+%C3%81+G">脕ngel G. Mu帽oz</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Pe%C3%B1a,+J">Jes煤s Pe帽a</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Romero,+L">Laia Romero</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Soret,+A">Albert Soret</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Donat,+M+G">Markus G. Donat</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Atmospheric and Oceanic Physics (physics.ao-ph)</span>; Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2503.20341" title="Abstract" id="2503.20341"> arXiv:2503.20341 </a> (cross-list from cs.LG) [<a href="/pdf/2503.20341" title="Download PDF" id="pdf-2503.20341" aria-labelledby="pdf-2503.20341">pdf</a>, <a href="https://arxiv.org/html/2503.20341v1" title="View HTML" id="html-2503.20341" aria-labelledby="html-2503.20341" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20341" title="Other formats" id="oth-2503.20341" aria-labelledby="oth-2503.20341">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Micheli,+F">Francesco Micheli</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Balta,+E+C">Efe C. Balta</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tsiamis,+A">Anastasios Tsiamis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lygeros,+J">John Lygeros</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2503.20264" title="Abstract" id="2503.20264"> arXiv:2503.20264 </a> (cross-list from cs.LG) [<a href="/pdf/2503.20264" title="Download PDF" id="pdf-2503.20264" aria-labelledby="pdf-2503.20264">pdf</a>, <a href="https://arxiv.org/html/2503.20264v1" title="View HTML" id="html-2503.20264" aria-labelledby="html-2503.20264" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20264" title="Other formats" id="oth-2503.20264" aria-labelledby="oth-2503.20264">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Y">Yunrui Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Batista,+G">Gustavo Batista</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kanhere,+S+S">Salil S. Kanhere</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted to PAKDD2025 </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='item32'>[32]</a> <a href ="/abs/2503.20100" title="Abstract" id="2503.20100"> arXiv:2503.20100 </a> (cross-list from econ.EM) [<a href="/pdf/2503.20100" title="Download PDF" id="pdf-2503.20100" aria-labelledby="pdf-2503.20100">pdf</a>, <a href="https://arxiv.org/html/2503.20100v1" title="View HTML" id="html-2503.20100" aria-labelledby="html-2503.20100" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.20100" title="Other formats" id="oth-2503.20100" aria-labelledby="oth-2503.20100">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> EASI Drugs in the Streets of Colombia: Modeling Heterogeneous and Endogenous Drug Preferences </div> <div class='list-authors'><a href="https://arxiv.org/search/econ?searchtype=author&query=Montoya-Bland%C3%B3n,+S">Santiago Montoya-Bland贸n</a>, <a href="https://arxiv.org/search/econ?searchtype=author&query=Ram%C3%ADrez-Hassan,+A">Andr茅s Ram铆rez-Hassan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Econometrics (econ.EM)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2503.19178" title="Abstract" id="2503.19178"> arXiv:2503.19178 </a> (cross-list from econ.EM) [<a href="/pdf/2503.19178" title="Download PDF" id="pdf-2503.19178" aria-labelledby="pdf-2503.19178">pdf</a>, <a href="https://arxiv.org/html/2503.19178v1" title="View HTML" id="html-2503.19178" aria-labelledby="html-2503.19178" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19178" title="Other formats" id="oth-2503.19178" aria-labelledby="oth-2503.19178">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Automatic Inference for Value-Added Regressions </div> <div class='list-authors'><a href="https://arxiv.org/search/econ?searchtype=author&query=Xie,+T">Tian Xie</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Econometrics (econ.EM)</span>; Methodology (stat.ME) </div> </div> </dd> </dl> <dl id='articles'> <h3>Wed, 26 Mar 2025 (showing first 17 of 42 entries )</h3> <dt> <a name='item34'>[34]</a> <a href ="/abs/2503.19795" title="Abstract" id="2503.19795"> arXiv:2503.19795 </a> [<a href="/pdf/2503.19795" title="Download PDF" id="pdf-2503.19795" aria-labelledby="pdf-2503.19795">pdf</a>, <a href="https://arxiv.org/html/2503.19795v1" title="View HTML" id="html-2503.19795" aria-labelledby="html-2503.19795" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19795" title="Other formats" id="oth-2503.19795" aria-labelledby="oth-2503.19795">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A burn-in(g) question: How long should an initial equal randomization stage be before Bayesian response-adaptive randomization? </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tang,+E+Y">Edwin Y.N. Tang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Baas,+S">Stef Baas</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kaddaj,+D">Daniel Kaddaj</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pin,+L">Lukas Pin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Robertson,+D+S">David S. Robertson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Villar,+S+S">Sof铆a S. Villar</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='item35'>[35]</a> <a href ="/abs/2503.19789" title="Abstract" id="2503.19789"> arXiv:2503.19789 </a> [<a href="/pdf/2503.19789" title="Download PDF" id="pdf-2503.19789" aria-labelledby="pdf-2503.19789">pdf</a>, <a href="/format/2503.19789" title="Other formats" id="oth-2503.19789" aria-labelledby="oth-2503.19789">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation of accuracy and reliability of models of $蠁$-sub-Gaussian stochastic processes in $C(T)$ spaces </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Mokliachuk,+O">Oleksandr Mokliachuk</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Research Bulletin of the National Technical University of Ukraine "Kyiv Polytechnics Institute", Iss. 4, 2017 </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='item36'>[36]</a> <a href ="/abs/2503.19763" title="Abstract" id="2503.19763"> arXiv:2503.19763 </a> [<a href="/pdf/2503.19763" title="Download PDF" id="pdf-2503.19763" aria-labelledby="pdf-2503.19763">pdf</a>, <a href="https://arxiv.org/html/2503.19763v1" title="View HTML" id="html-2503.19763" aria-labelledby="html-2503.19763" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19763" title="Other formats" id="oth-2503.19763" aria-labelledby="oth-2503.19763">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Interpretable Deep Regression Models with Interval-Censored Failure Time Data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yuan,+C">Changhui Yuan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+S">Shishun Zhao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+S">Shuwei Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Song,+X">Xinyuan Song</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+Z">Zhao Chen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2503.19748" title="Abstract" id="2503.19748"> arXiv:2503.19748 </a> [<a href="/pdf/2503.19748" title="Download PDF" id="pdf-2503.19748" aria-labelledby="pdf-2503.19748">pdf</a>, <a href="https://arxiv.org/html/2503.19748v1" title="View HTML" id="html-2503.19748" aria-labelledby="html-2503.19748" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19748" title="Other formats" id="oth-2503.19748" aria-labelledby="oth-2503.19748">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> No-prior Bayesian inference reIMagined: probabilistic approximations of inferential models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Martin,+R">Ryan Martin</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages + appendix </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Probability (math.PR); Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2503.19714" title="Abstract" id="2503.19714"> arXiv:2503.19714 </a> [<a href="/pdf/2503.19714" title="Download PDF" id="pdf-2503.19714" aria-labelledby="pdf-2503.19714">pdf</a>, <a href="/format/2503.19714" title="Other formats" id="oth-2503.19714" aria-labelledby="oth-2503.19714">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Approximate Monte Carlo Simulation Method for Estimating Uncertainty and Constructing Confidence Intervals for 2020 Census Statistics </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ashmead,+R">Robert Ashmead</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hawes,+M+B">Michael B. Hawes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pritts,+M">Mary Pritts</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhuravlev,+P">Pavel Zhuravlev</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Keller,+S+A">Sallie Ann Keller</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='item39'>[39]</a> <a href ="/abs/2503.19554" title="Abstract" id="2503.19554"> arXiv:2503.19554 </a> [<a href="/pdf/2503.19554" title="Download PDF" id="pdf-2503.19554" aria-labelledby="pdf-2503.19554">pdf</a>, <a href="https://arxiv.org/html/2503.19554v1" title="View HTML" id="html-2503.19554" aria-labelledby="html-2503.19554" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19554" title="Other formats" id="oth-2503.19554" aria-labelledby="oth-2503.19554">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Causal Bayesian Optimization with Unknown Graphs </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Durand,+J">Jean Durand</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Annadani,+Y">Yashas Annadani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bauer,+S">Stefan Bauer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Parbhoo,+S">Sonali Parbhoo</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='item40'>[40]</a> <a href ="/abs/2503.19534" title="Abstract" id="2503.19534"> arXiv:2503.19534 </a> [<a href="/pdf/2503.19534" title="Download PDF" id="pdf-2503.19534" aria-labelledby="pdf-2503.19534">pdf</a>, <a href="https://arxiv.org/html/2503.19534v1" title="View HTML" id="html-2503.19534" aria-labelledby="html-2503.19534" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19534" title="Other formats" id="oth-2503.19534" aria-labelledby="oth-2503.19534">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Combining predictive distributions for time-to-event outcomes in meteorology </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cunen,+C">C茅line Cunen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roksv%C3%A5g,+T">Thea Roksv氓g</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Heinrich-Mertsching,+C">Claudio Heinrich-Mertsching</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lenkoski,+A">Alex Lenkoski</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2503.19524" title="Abstract" id="2503.19524"> arXiv:2503.19524 </a> [<a href="/pdf/2503.19524" title="Download PDF" id="pdf-2503.19524" aria-labelledby="pdf-2503.19524">pdf</a>, <a href="https://arxiv.org/html/2503.19524v1" title="View HTML" id="html-2503.19524" aria-labelledby="html-2503.19524" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19524" title="Other formats" id="oth-2503.19524" aria-labelledby="oth-2503.19524">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Use of Lambert W function in the simulation of Weibull and non-Weibull distributions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Patra,+S">Subhashree Patra</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bhattacharjee,+S">Subarna Bhattacharjee</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='item42'>[42]</a> <a href ="/abs/2503.19515" title="Abstract" id="2503.19515"> arXiv:2503.19515 </a> [<a href="/pdf/2503.19515" title="Download PDF" id="pdf-2503.19515" aria-labelledby="pdf-2503.19515">pdf</a>, <a href="https://arxiv.org/html/2503.19515v1" title="View HTML" id="html-2503.19515" aria-labelledby="html-2503.19515" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19515" title="Other formats" id="oth-2503.19515" aria-labelledby="oth-2503.19515">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Outlier Detection for Matrix-variate Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Billio,+M">Monica Billio</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Casarin,+R">Roberto Casarin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Corradin,+F">Fausto Corradin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Peruzzi,+A">Antonio Peruzzi</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='item43'>[43]</a> <a href ="/abs/2503.19423" title="Abstract" id="2503.19423"> arXiv:2503.19423 </a> [<a href="/pdf/2503.19423" title="Download PDF" id="pdf-2503.19423" aria-labelledby="pdf-2503.19423">pdf</a>, <a href="https://arxiv.org/html/2503.19423v1" title="View HTML" id="html-2503.19423" aria-labelledby="html-2503.19423" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19423" title="Other formats" id="oth-2503.19423" aria-labelledby="oth-2503.19423">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Diao,+T">Tingting Diao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wu,+X">Xinzhang Wu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+L">Lina Yang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xiao,+L">Ling Xiao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dong,+Y">Yunxuan Dong</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='item44'>[44]</a> <a href ="/abs/2503.19306" title="Abstract" id="2503.19306"> arXiv:2503.19306 </a> [<a href="/pdf/2503.19306" title="Download PDF" id="pdf-2503.19306" aria-labelledby="pdf-2503.19306">pdf</a>, <a href="https://arxiv.org/html/2503.19306v1" title="View HTML" id="html-2503.19306" aria-labelledby="html-2503.19306" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19306" title="Other formats" id="oth-2503.19306" aria-labelledby="oth-2503.19306">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Centroid Decision Forest </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ali,+A">Amjad Ali</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Khan,+Z">Zardad Khan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Aldahmani,+S">Saeed Aldahmani</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This article has 11 pages, 6 figures, and 3 tables and has been submitted to the "IEEE Transactions on Pattern Analysis and Machine Intelligence" journal </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='item45'>[45]</a> <a href ="/abs/2503.19304" title="Abstract" id="2503.19304"> arXiv:2503.19304 </a> [<a href="/pdf/2503.19304" title="Download PDF" id="pdf-2503.19304" aria-labelledby="pdf-2503.19304">pdf</a>, <a href="https://arxiv.org/html/2503.19304v1" title="View HTML" id="html-2503.19304" aria-labelledby="html-2503.19304" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19304" title="Other formats" id="oth-2503.19304" aria-labelledby="oth-2503.19304">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+Y">Yongxia Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Liang,+J">Jinwen Liang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xu,+L">Liwen Xu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yu,+K">Keming Yu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tian,+M">Maozai Tian</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2503.19294" title="Abstract" id="2503.19294"> arXiv:2503.19294 </a> [<a href="/pdf/2503.19294" title="Download PDF" id="pdf-2503.19294" aria-labelledby="pdf-2503.19294">pdf</a>, <a href="https://arxiv.org/html/2503.19294v1" title="View HTML" id="html-2503.19294" aria-labelledby="html-2503.19294" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19294" title="Other formats" id="oth-2503.19294" aria-labelledby="oth-2503.19294">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multilevel Monte Carlo Metamodeling for Variance Function Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+J">Jingtao Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+X">Xi 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='item47'>[47]</a> <a href ="/abs/2503.19246" title="Abstract" id="2503.19246"> arXiv:2503.19246 </a> [<a href="/pdf/2503.19246" title="Download PDF" id="pdf-2503.19246" aria-labelledby="pdf-2503.19246">pdf</a>, <a href="https://arxiv.org/html/2503.19246v1" title="View HTML" id="html-2503.19246" aria-labelledby="html-2503.19246" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19246" title="Other formats" id="oth-2503.19246" aria-labelledby="oth-2503.19246">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A general joint latent class model of longitudinal and survival data with the covariance modelling </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Miao,+R">Ruoyu Miao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Charalambous,+C">Christiana Charalambous</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 29 pages, 8 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> A general joint latent class model of longitudinal and survival data with a time-varying membership probability and covariance modelling Miao, R. (Author). 1 Aug 2023 Student thesis: Phd </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2503.19241" title="Abstract" id="2503.19241"> arXiv:2503.19241 </a> [<a href="/pdf/2503.19241" title="Download PDF" id="pdf-2503.19241" aria-labelledby="pdf-2503.19241">pdf</a>, <a href="https://arxiv.org/html/2503.19241v1" title="View HTML" id="html-2503.19241" aria-labelledby="html-2503.19241" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19241" title="Other formats" id="oth-2503.19241" aria-labelledby="oth-2503.19241">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exact identifiability analysis for a class of partially observed near-linear stochastic differential equation models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Browning,+A+P">Alexander P Browning</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chappell,+M+J">Michael J Chappell</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rahkooy,+H">Hamid Rahkooy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Loman,+T+E">Torkel E Loman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Baker,+R+E">Ruth E Baker</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Quantitative Methods (q-bio.QM) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2503.19190" title="Abstract" id="2503.19190"> arXiv:2503.19190 </a> [<a href="/pdf/2503.19190" title="Download PDF" id="pdf-2503.19190" aria-labelledby="pdf-2503.19190">pdf</a>, <a href="https://arxiv.org/html/2503.19190v1" title="View HTML" id="html-2503.19190" aria-labelledby="html-2503.19190" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19190" title="Other formats" id="oth-2503.19190" aria-labelledby="oth-2503.19190">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Universal Architectures for the Learning of Polyhedral Norms and Convex Regularization Functionals </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Unser,+M">Michael Unser</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ducotterd,+S">Stanislas Ducotterd</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2503.19127" title="Abstract" id="2503.19127"> arXiv:2503.19127 </a> [<a href="/pdf/2503.19127" title="Download PDF" id="pdf-2503.19127" aria-labelledby="pdf-2503.19127">pdf</a>, <a href="https://arxiv.org/html/2503.19127v1" title="View HTML" id="html-2503.19127" aria-labelledby="html-2503.19127" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.19127" title="Other formats" id="oth-2503.19127" aria-labelledby="oth-2503.19127">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical Design and Rationale of the Biomarkers for Evaluating Spine Treatments (BEST) Trial </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Sperger,+J">John Sperger</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kidwell,+K+M">Kelley M. Kidwell</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mauck,+M+C">Matthew C. Mauck</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhao,+B">Beibo Zhao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Anstrom,+K+J">Kevin J. Anstrom</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Batorsky,+A">Anna Batorsky</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Carey,+T+S">Timothy S. Carey</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Clauw,+D+J">Daniel J. Clauw</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Freeman,+N+L+B">Nikki L. B. Freeman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Greco,+C+M">Carol M. Greco</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ivanova,+A">Anastasia Ivanova</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Berkeley,+S+J">Sara Jones Berkeley</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=McLean,+S+A">Samuel A. McLean</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Psioda,+M+A">Matthew A. Psioda</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rowland,+B">Bryce Rowland</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sowa,+G+A">Gwendolyn A. Sowa</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wasan,+A+D">Ajay D. Wasan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zitovsky,+J+P">Joshua P Zitovsky</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kosorok,+M+R">Michael R. Kosorok</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 pages, 3 figures, 1 algorithm, 1 table </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 223 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>201-223</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"> <!-- Macro-Column 1 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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