Statistics May 2018

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href=/list/stat/2018-05?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2018-05?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2018-05?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/1805.00119" title="Abstract" id="1805.00119"> arXiv:1805.00119 </a> [<a href="/pdf/1805.00119" title="Download PDF" id="pdf-1805.00119" aria-labelledby="pdf-1805.00119">pdf</a>, <a href="/format/1805.00119" title="Other formats" id="oth-1805.00119" aria-labelledby="oth-1805.00119">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Risk-Averse Classification </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Vitt,+C">Constantine Vitt</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dentcheva,+D">Darinka Dentcheva</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xiong,+H">Hui Xiong</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='item2'>[2]</a> <a href ="/abs/1805.00184" title="Abstract" id="1805.00184"> arXiv:1805.00184 </a> [<a href="/pdf/1805.00184" title="Download PDF" id="pdf-1805.00184" aria-labelledby="pdf-1805.00184">pdf</a>, <a href="/format/1805.00184" title="Other formats" id="oth-1805.00184" aria-labelledby="oth-1805.00184">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Compact Factorization of Matrices Using Generalized Round-Rank </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pezeshkpour,+P">Pouya Pezeshkpour</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Guestrin,+C">Carlos Guestrin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Singh,+S">Sameer Singh</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/1805.00189" title="Abstract" id="1805.00189"> arXiv:1805.00189 </a> [<a href="/pdf/1805.00189" title="Download PDF" id="pdf-1805.00189" aria-labelledby="pdf-1805.00189">pdf</a>, <a href="/format/1805.00189" title="Other formats" id="oth-1805.00189" aria-labelledby="oth-1805.00189">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exploring the Accuracy of MIRT Scale Linking Procedures for Mixed-format Tests </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Z">Zhen Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+H">Haiqin Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+T">Tianli Li</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='item4'>[4]</a> <a href ="/abs/1805.00194" title="Abstract" id="1805.00194"> arXiv:1805.00194 </a> [<a href="/pdf/1805.00194" title="Download PDF" id="pdf-1805.00194" aria-labelledby="pdf-1805.00194">pdf</a>, <a href="/format/1805.00194" title="Other formats" id="oth-1805.00194" aria-labelledby="oth-1805.00194">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Intrinsic Complexity And Scaling Laws: From Random Fields to Random Vectors </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Bryson,+J">Jennifer Bryson</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Zhao,+H">Hongkai Zhao</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Zhong,+Y">Yimin Zhong</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 26 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/1805.00306" title="Abstract" id="1805.00306"> arXiv:1805.00306 </a> [<a href="/pdf/1805.00306" title="Download PDF" id="pdf-1805.00306" aria-labelledby="pdf-1805.00306">pdf</a>, <a href="/format/1805.00306" title="Other formats" id="oth-1805.00306" aria-labelledby="oth-1805.00306">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling Risk and Return using Dirichlet Process Prior </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Das,+S">Sourish Das</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Halder,+A">Aritra Halder</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lahiri,+A">Ananya Lahiri</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dey,+D+K">Dipak K Dey</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='item6'>[6]</a> <a href ="/abs/1805.00318" title="Abstract" id="1805.00318"> arXiv:1805.00318 </a> [<a href="/pdf/1805.00318" title="Download PDF" id="pdf-1805.00318" aria-labelledby="pdf-1805.00318">pdf</a>, <a href="/format/1805.00318" title="Other formats" id="oth-1805.00318" aria-labelledby="oth-1805.00318">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Separable correlation and maximum likelihood </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Ekvall,+K+O">Karl Oskar Ekvall</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gray,+B+R">Brian R. Gray</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages, 2 figures, 1 supplemental file </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/1805.00389" title="Abstract" id="1805.00389"> arXiv:1805.00389 </a> [<a href="/pdf/1805.00389" title="Download PDF" id="pdf-1805.00389" aria-labelledby="pdf-1805.00389">pdf</a>, <a href="/format/1805.00389" title="Other formats" id="oth-1805.00389" aria-labelledby="oth-1805.00389">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adaptive group-regularized logistic elastic net regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=M%C3%BCnch,+M+M">Magnus M. M眉nch</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Peeters,+C+F">Carel F.W. Peeters</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=van+der+Vaart,+A+W">Aad W. van der Vaart</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-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages, 5 figures, supplementary material available from first author's personal website </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Biostatistics, 22(4): 723-737, 2021 </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/1805.00414" title="Abstract" id="1805.00414"> arXiv:1805.00414 </a> [<a href="/pdf/1805.00414" title="Download PDF" id="pdf-1805.00414" aria-labelledby="pdf-1805.00414">pdf</a>, <a href="/format/1805.00414" title="Other formats" id="oth-1805.00414" aria-labelledby="oth-1805.00414">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Discrete View of the Indian Monsoon to Identify Spatial Patterns of Rainfall </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mitra,+A">Adway Mitra</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Apte,+A">Amit Apte</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Govindarajan,+R">Rama Govindarajan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vasan,+V">Vishal Vasan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vadlamani,+S">Sreekar Vadlamani</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Dynamics and Statistics of the Climate System, Oxford University Press, 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/1805.00420" title="Abstract" id="1805.00420"> arXiv:1805.00420 </a> [<a href="/pdf/1805.00420" title="Download PDF" id="pdf-1805.00420" aria-labelledby="pdf-1805.00420">pdf</a>, <a href="/format/1805.00420" title="Other formats" id="oth-1805.00420" aria-labelledby="oth-1805.00420">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spatio-temporal Patterns of Indian Monsoon Rainfall </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mitra,+A">Adway Mitra</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Apte,+A">Amit Apte</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Govindarajan,+R">Rama Govindarajan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vasan,+V">Vishal Vasan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vadlamani,+S">Sreekar Vadlamani</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Dynamics and Statistics of the Climate System, Oxford University Press, 3, 1, 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/1805.00450" title="Abstract" id="1805.00450"> arXiv:1805.00450 </a> [<a href="/pdf/1805.00450" title="Download PDF" id="pdf-1805.00450" aria-labelledby="pdf-1805.00450">pdf</a>, <a href="/format/1805.00450" title="Other formats" id="oth-1805.00450" aria-labelledby="oth-1805.00450">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Classification on convex sets in the presence of missing covariates </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Demirdjian,+L">Levon Demirdjian</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Mojirsheibani,+M">Majid Mojirsheibani</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/1805.00533" title="Abstract" id="1805.00533"> arXiv:1805.00533 </a> [<a href="/pdf/1805.00533" title="Download PDF" id="pdf-1805.00533" aria-labelledby="pdf-1805.00533">pdf</a>, <a href="/format/1805.00533" title="Other formats" id="oth-1805.00533" aria-labelledby="oth-1805.00533">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Sign-Full Random Projections </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+P">Ping Li</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Information Retrieval (cs.IR); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/1805.00541" title="Abstract" id="1805.00541"> arXiv:1805.00541 </a> [<a href="/pdf/1805.00541" title="Download PDF" id="pdf-1805.00541" aria-labelledby="pdf-1805.00541">pdf</a>, <a href="/format/1805.00541" title="Other formats" id="oth-1805.00541" aria-labelledby="oth-1805.00541">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Scalable Importance Tempering and Bayesian Variable Selection </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zanella,+G">Giacomo Zanella</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roberts,+G">Gareth Roberts</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Online supplement not included </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> J. R. Statist. Soc. B (2019) 81, Part 3, pp. 489-517 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Methodology (stat.ME); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/1805.00550" title="Abstract" id="1805.00550"> arXiv:1805.00550 </a> [<a href="/pdf/1805.00550" title="Download PDF" id="pdf-1805.00550" aria-labelledby="pdf-1805.00550">pdf</a>, <a href="/format/1805.00550" title="Other formats" id="oth-1805.00550" aria-labelledby="oth-1805.00550">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Extending inferences from a randomized trial to a new target population </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dahabreh,+I+J">Issa J. Dahabreh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Robertson,+S+E">Sarah E. Robertson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Steingrimsson,+J+A">Jon A. Steingrimsson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stuart,+E+A">Elizabeth A. Stuart</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hernan,+M+A">Miguel A. Hernan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> changes in section 5 </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/1805.00555" title="Abstract" id="1805.00555"> arXiv:1805.00555 </a> [<a href="/pdf/1805.00555" title="Download PDF" id="pdf-1805.00555" aria-labelledby="pdf-1805.00555">pdf</a>, <a href="/format/1805.00555" title="Other formats" id="oth-1805.00555" aria-labelledby="oth-1805.00555">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A general framework for modelling zero inflation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Haslett,+J">John Haslett</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Parnell,+A">Andrew Parnell</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sweeney,+J">James Sweeney</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/1805.00649" title="Abstract" id="1805.00649"> arXiv:1805.00649 </a> [<a href="/pdf/1805.00649" title="Download PDF" id="pdf-1805.00649" aria-labelledby="pdf-1805.00649">pdf</a>, <a href="/format/1805.00649" title="Other formats" id="oth-1805.00649" aria-labelledby="oth-1805.00649">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robust Particle Density Tempering for State Space Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gunawan,+D">David Gunawan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kohn,+R">Robert Kohn</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Tran,+M+N">Minh Ngoc Tran</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='item16'>[16]</a> <a href ="/abs/1805.00692" title="Abstract" id="1805.00692"> arXiv:1805.00692 </a> [<a href="/pdf/1805.00692" title="Download PDF" id="pdf-1805.00692" aria-labelledby="pdf-1805.00692">pdf</a>, <a href="/format/1805.00692" title="Other formats" id="oth-1805.00692" aria-labelledby="oth-1805.00692">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Compressed Dictionary Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Schnass,+K">Karin Schnass</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Teixeira,+F">Flavio Teixeira</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 figure, 4.6 pages per figure </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='item17'>[17]</a> <a href ="/abs/1805.00726" title="Abstract" id="1805.00726"> arXiv:1805.00726 </a> [<a href="/pdf/1805.00726" title="Download PDF" id="pdf-1805.00726" aria-labelledby="pdf-1805.00726">pdf</a>, <a href="/format/1805.00726" title="Other formats" id="oth-1805.00726" aria-labelledby="oth-1805.00726">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Emulation of utility functions over a set of permutations: sequencing reliability growth tasks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wilson,+K+J">Kevin J Wilson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Henderson,+D+A">Daniel A Henderson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Quigley,+J">John Quigley</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Article accepted at Technometrics. The official journal version is given here: <a href="https://doi.org/10.1080/00401706.2017.1377637" 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> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/1805.00753" title="Abstract" id="1805.00753"> arXiv:1805.00753 </a> [<a href="/pdf/1805.00753" title="Download PDF" id="pdf-1805.00753" aria-labelledby="pdf-1805.00753">pdf</a>, <a href="/format/1805.00753" title="Other formats" id="oth-1805.00753" aria-labelledby="oth-1805.00753">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bachoc,+F">Francois Bachoc</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Suvorikova,+A">Alexandra Suvorikova</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ginsbourger,+D">David Ginsbourger</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Loubes,+J">Jean-Michel Loubes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Spokoiny,+V">Vladimir Spokoiny</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='item19'>[19]</a> <a href ="/abs/1805.00779" title="Abstract" id="1805.00779"> arXiv:1805.00779 </a> [<a href="/pdf/1805.00779" title="Download PDF" id="pdf-1805.00779" aria-labelledby="pdf-1805.00779">pdf</a>, <a href="/format/1805.00779" title="Other formats" id="oth-1805.00779" aria-labelledby="oth-1805.00779">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Van+Craenendonck,+T">Toon Van Craenendonck</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Meert,+W">Wannes Meert</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dumancic,+S">Sebastijan Dumancic</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Blockeel,+H">Hendrik Blockeel</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/1805.00811" title="Abstract" id="1805.00811"> arXiv:1805.00811 </a> [<a href="/pdf/1805.00811" title="Download PDF" id="pdf-1805.00811" aria-labelledby="pdf-1805.00811">pdf</a>, <a href="/format/1805.00811" title="Other formats" id="oth-1805.00811" aria-labelledby="oth-1805.00811">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Evaluation of Classification and Outlier Detection Algorithms </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hodge,+V+J">Victoria J. Hodge</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Austin,+J">Jim Austin</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/1805.00829" title="Abstract" id="1805.00829"> arXiv:1805.00829 </a> [<a href="/pdf/1805.00829" title="Download PDF" id="pdf-1805.00829" aria-labelledby="pdf-1805.00829">pdf</a>, <a href="/format/1805.00829" title="Other formats" id="oth-1805.00829" aria-labelledby="oth-1805.00829">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Selection of proposal distributions for multiple importance sampling </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Roy,+V">Vivekananda Roy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Evangelou,+E">Evangelos Evangelou</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='item22'>[22]</a> <a href ="/abs/1805.00861" title="Abstract" id="1805.00861"> arXiv:1805.00861 </a> [<a href="/pdf/1805.00861" title="Download PDF" id="pdf-1805.00861" aria-labelledby="pdf-1805.00861">pdf</a>, <a href="/format/1805.00861" title="Other formats" id="oth-1805.00861" aria-labelledby="oth-1805.00861">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modelling cross-dependencies between Spain's regional tourism markets with an extension of the Gaussian process regression model </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Claveria,+O">Oscar Claveria</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Monte,+E">Enric Monte</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Torra,+S">Salvador Torra</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages 2 figures, 3 tables </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Claveria, O., Monte, E., and Torra, S. (2016): Modelling cross-dependencies between Spain's regional tourism markets with an extension of the Gaussian process regression model. SERIEs, 7 (3), 341-357 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/1805.00868" title="Abstract" id="1805.00868"> arXiv:1805.00868 </a> [<a href="/pdf/1805.00868" title="Download PDF" id="pdf-1805.00868" aria-labelledby="pdf-1805.00868">pdf</a>, <a href="/format/1805.00868" title="Other formats" id="oth-1805.00868" aria-labelledby="oth-1805.00868">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Dynamic Model for Traffic Flow Prediction Using Improved DRN </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tan,+Z">Zeren Tan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+R">Ruimin Li</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 15 pages, 11 figures, 3 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/1805.00871" title="Abstract" id="1805.00871"> arXiv:1805.00871 </a> [<a href="/pdf/1805.00871" title="Download PDF" id="pdf-1805.00871" aria-labelledby="pdf-1805.00871">pdf</a>, <a href="/format/1805.00871" title="Other formats" id="oth-1805.00871" aria-labelledby="oth-1805.00871">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Undersampled dynamic X-ray tomography with dimension reduction Kalman filter </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hakkarainen,+J">Janne Hakkarainen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Purisha,+Z">Zenith Purisha</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Solonen,+A">Antti Solonen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Siltanen,+S">Samuli Siltanen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/1805.00874" title="Abstract" id="1805.00874"> arXiv:1805.00874 </a> [<a href="/pdf/1805.00874" title="Download PDF" id="pdf-1805.00874" aria-labelledby="pdf-1805.00874">pdf</a>, <a href="/format/1805.00874" title="Other formats" id="oth-1805.00874" aria-labelledby="oth-1805.00874">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> IRT scoring and the principle of consistent order </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Lacourly,+N">Nancy Lacourly</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Martin,+J+S">Jaime San Martin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Silva,+M">Monica Silva</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Uribe,+P">Paula Uribe</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 15 pages, 8 figures, 1 table </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/1805.00875" title="Abstract" id="1805.00875"> arXiv:1805.00875 </a> [<a href="/pdf/1805.00875" title="Download PDF" id="pdf-1805.00875" aria-labelledby="pdf-1805.00875">pdf</a>, <a href="/format/1805.00875" title="Other formats" id="oth-1805.00875" aria-labelledby="oth-1805.00875">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Chain effects of clean water: The Mills-Reincke phenomenon in early twentieth-century Japan </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Inoue,+T">Tatsuki Inoue</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ogasawara,+K">Kota Ogasawara</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages, 1 figures, 4 tables, and appendices </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Econometrics (econ.EM); Populations and Evolution (q-bio.PE) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/1805.00878" title="Abstract" id="1805.00878"> arXiv:1805.00878 </a> [<a href="/pdf/1805.00878" title="Download PDF" id="pdf-1805.00878" aria-labelledby="pdf-1805.00878">pdf</a>, <a href="/format/1805.00878" title="Other formats" id="oth-1805.00878" aria-labelledby="oth-1805.00878">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Claveria,+O">Oscar Claveria</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Monte,+E">Enric Monte</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Torra,+S">Salvador Torra</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 3 figures, 6 tables </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Claveria, O., Monte, E., and Torra, S. (2016): Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection. Revista de Economia Aplicada, 24 (72), 109-132 </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='item28'>[28]</a> <a href ="/abs/1805.00899" title="Abstract" id="1805.00899"> arXiv:1805.00899 </a> [<a href="/pdf/1805.00899" title="Download PDF" id="pdf-1805.00899" aria-labelledby="pdf-1805.00899">pdf</a>, <a href="/format/1805.00899" title="Other formats" id="oth-1805.00899" aria-labelledby="oth-1805.00899">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AI safety via debate </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Irving,+G">Geoffrey Irving</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Christiano,+P">Paul Christiano</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Amodei,+D">Dario Amodei</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/1805.00915" title="Abstract" id="1805.00915"> arXiv:1805.00915 </a> [<a href="/pdf/1805.00915" title="Download PDF" id="pdf-1805.00915" aria-labelledby="pdf-1805.00915">pdf</a>, <a href="/format/1805.00915" title="Other formats" id="oth-1805.00915" aria-labelledby="oth-1805.00915">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Rotskoff,+G+M">Grant M. Rotskoff</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vanden-Eijnden,+E">Eric Vanden-Eijnden</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Statistical Mechanics (cond-mat.stat-mech); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/1805.00917" title="Abstract" id="1805.00917"> arXiv:1805.00917 </a> [<a href="/pdf/1805.00917" title="Download PDF" id="pdf-1805.00917" aria-labelledby="pdf-1805.00917">pdf</a>, <a href="/format/1805.00917" title="Other formats" id="oth-1805.00917" aria-labelledby="oth-1805.00917">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Scalable Discrete-Time Survival Model for Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Gensheimer,+M+F">Michael F. Gensheimer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Narasimhan,+B">Balasubramanian Narasimhan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Computers and Society (cs.CY); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/1805.01010" title="Abstract" id="1805.01010"> arXiv:1805.01010 </a> [<a href="/pdf/1805.01010" title="Download PDF" id="pdf-1805.01010" aria-labelledby="pdf-1805.01010">pdf</a>, <a href="/format/1805.01010" title="Other formats" id="oth-1805.01010" aria-labelledby="oth-1805.01010">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bose,+M">Maitreyee Bose</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hodges,+J+S">James S. Hodges</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Banerjee,+S">Sudipto Banerjee</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='item32'>[32]</a> <a href ="/abs/1805.01045" title="Abstract" id="1805.01045"> arXiv:1805.01045 </a> [<a href="/pdf/1805.01045" title="Download PDF" id="pdf-1805.01045" aria-labelledby="pdf-1805.01045">pdf</a>, <a href="/format/1805.01045" title="Other formats" id="oth-1805.01045" aria-labelledby="oth-1805.01045">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Alpha-Beta Divergence For Variational Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Regli,+J">Jean-Baptiste Regli</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Silva,+R">Ricardo Silva</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='item33'>[33]</a> <a href ="/abs/1805.01078" title="Abstract" id="1805.01078"> arXiv:1805.01078 </a> [<a href="/pdf/1805.01078" title="Download PDF" id="pdf-1805.01078" aria-labelledby="pdf-1805.01078">pdf</a>, <a href="/format/1805.01078" title="Other formats" id="oth-1805.01078" aria-labelledby="oth-1805.01078">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exploration of Numerical Precision in Deep Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Li,+Z">Zhaoqi Li</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ma,+Y">Yu Ma</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vajiac,+C">Catalina Vajiac</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+Y">Yunkai Zhang</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='item34'>[34]</a> <a href ="/abs/1805.01104" title="Abstract" id="1805.01104"> arXiv:1805.01104 </a> [<a href="/pdf/1805.01104" title="Download PDF" id="pdf-1805.01104" aria-labelledby="pdf-1805.01104">pdf</a>, <a href="/format/1805.01104" title="Other formats" id="oth-1805.01104" aria-labelledby="oth-1805.01104">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Deep Learning in Characteristics-Sorted Factor Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Feng,+G">Guanhao Feng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=He,+J">Jingyu He</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Polson,+N+G">Nicholas G. Polson</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xu,+J">Jianeng Xu</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> J. Financ. Quant. Anal. 59 (2024) 3001-3036 </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/1805.01124" title="Abstract" id="1805.01124"> arXiv:1805.01124 </a> [<a href="/pdf/1805.01124" title="Download PDF" id="pdf-1805.01124" aria-labelledby="pdf-1805.01124">pdf</a>, <a href="/format/1805.01124" title="Other formats" id="oth-1805.01124" aria-labelledby="oth-1805.01124">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Coefficient of Determination (R2) for Linear Mixed Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Piepho,+H">Hans-Peter Piepho</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='item36'>[36]</a> <a href ="/abs/1805.01157" title="Abstract" id="1805.01157"> arXiv:1805.01157 </a> [<a href="/pdf/1805.01157" title="Download PDF" id="pdf-1805.01157" aria-labelledby="pdf-1805.01157">pdf</a>, <a href="/format/1805.01157" title="Other formats" id="oth-1805.01157" aria-labelledby="oth-1805.01157">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Graph Bayesian Optimization: Algorithms, Evaluations and Applications </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cui,+J">Jiaxu Cui</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+B">Bo Yang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This work is in progress, and contains 27 pages, 14 figures, an appendix, the contrast algorithm in last experiment ( see Figure 11) </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='item37'>[37]</a> <a href ="/abs/1805.01174" title="Abstract" id="1805.01174"> arXiv:1805.01174 </a> [<a href="/pdf/1805.01174" title="Download PDF" id="pdf-1805.01174" aria-labelledby="pdf-1805.01174">pdf</a>, <a href="/format/1805.01174" title="Other formats" id="oth-1805.01174" aria-labelledby="oth-1805.01174">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimization of computational budget for power system risk assessment </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Donnot,+B">Benjamin Donnot</a> (TAU, LRI), <a href="https://arxiv.org/search/stat?searchtype=author&query=Guyon,+I">Isabelle Guyon</a> (TAU, LRI, UP11), <a href="https://arxiv.org/search/stat?searchtype=author&query=Marot,+A">Antoine Marot</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Schoenauer,+M">Marc Schoenauer</a> (LRI, TAU), <a href="https://arxiv.org/search/stat?searchtype=author&query=Panciatici,+P">Patrick Panciatici</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, Oct 2018, Sarajevo, Bosnia and Herzegovina. 2018 </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='item38'>[38]</a> <a href ="/abs/1805.01271" title="Abstract" id="1805.01271"> arXiv:1805.01271 </a> [<a href="/pdf/1805.01271" title="Download PDF" id="pdf-1805.01271" aria-labelledby="pdf-1805.01271">pdf</a>, <a href="/format/1805.01271" title="Other formats" id="oth-1805.01271" aria-labelledby="oth-1805.01271">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> NFL Injuries Before and After the 2011 Collective Bargaining Agreement (CBA) </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Binney,+Z+O">Zachary O. Binney</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hammond,+K+E">Kyle E. Hammond</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Klein,+M">Mitchel Klein</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Goodman,+M">Michael Goodman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Janssens,+A+C+J">A. Cecile J.W. Janssens</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 22 pages, 4 figures, 5 tables; conference presentation at JSM 2018; lay version at <a href="http://FootballOutsiders.com" rel="external noopener nofollow" class="link-external link-http">this http URL</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='item39'>[39]</a> <a href ="/abs/1805.01284" title="Abstract" id="1805.01284"> arXiv:1805.01284 </a> [<a href="/pdf/1805.01284" title="Download PDF" id="pdf-1805.01284" aria-labelledby="pdf-1805.01284">pdf</a>, <a href="/format/1805.01284" title="Other formats" id="oth-1805.01284" aria-labelledby="oth-1805.01284">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> REMI: Regression with marginal information and its application in genome-wide association studies </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Huang,+J">Jian Huang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jiao,+Y">Yuling Jiao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+J">Jin Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yang,+C">Can Yang</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='item40'>[40]</a> <a href ="/abs/1805.01291" title="Abstract" id="1805.01291"> arXiv:1805.01291 </a> [<a href="/pdf/1805.01291" title="Download PDF" id="pdf-1805.01291" aria-labelledby="pdf-1805.01291">pdf</a>, <a href="/format/1805.01291" title="Other formats" id="oth-1805.01291" aria-labelledby="oth-1805.01291">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Benford or not Benford: new results on digits beyond the first </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=da+Silva,+S+B">St茅phane Blondeau da Silva</a> (XLIM-MATHIS)</div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> arXiv admin note: substantial text overlap with <a href="https://arxiv.org/abs/1804.06186" data-arxiv-id="1804.06186" class="link-https">arXiv:1804.06186</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Other Statistics (stat.OT)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/1805.01345" title="Abstract" id="1805.01345"> arXiv:1805.01345 </a> [<a href="/pdf/1805.01345" title="Download PDF" id="pdf-1805.01345" aria-labelledby="pdf-1805.01345">pdf</a>, <a href="/format/1805.01345" title="Other formats" id="oth-1805.01345" aria-labelledby="oth-1805.01345">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Conjectures on Optimal Nested Generalized Group Testing Algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Malinovsky,+Y">Yaakov Malinovsky</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">Other Statistics (stat.OT)</span> </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/1805.01417" title="Abstract" id="1805.01417"> arXiv:1805.01417 </a> [<a href="/pdf/1805.01417" title="Download PDF" id="pdf-1805.01417" aria-labelledby="pdf-1805.01417">pdf</a>, <a href="/format/1805.01417" title="Other formats" id="oth-1805.01417" aria-labelledby="oth-1805.01417">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A generalized spatial sign covariance matrix </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Raymaekers,+J">Jakob Raymaekers</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rousseeuw,+P+J">Peter J. Rousseeuw</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Journal of Multivariate Analysis, 2019, Vol. 171, 94-111 </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/1805.01422" title="Abstract" id="1805.01422"> arXiv:1805.01422 </a> [<a href="/pdf/1805.01422" title="Download PDF" id="pdf-1805.01422" aria-labelledby="pdf-1805.01422">pdf</a>, <a href="/format/1805.01422" title="Other formats" id="oth-1805.01422" aria-labelledby="oth-1805.01422">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Geometrizing rates of convergence under local differential privacy constraints </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Rohde,+A">Angelika Rohde</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Steinberger,+L">Lukas Steinberger</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='item44'>[44]</a> <a href ="/abs/1805.01500" title="Abstract" id="1805.01500"> arXiv:1805.01500 </a> [<a href="/pdf/1805.01500" title="Download PDF" id="pdf-1805.01500" aria-labelledby="pdf-1805.01500">pdf</a>, <a href="/format/1805.01500" title="Other formats" id="oth-1805.01500" aria-labelledby="oth-1805.01500">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Noisin: Unbiased Regularization for Recurrent Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dieng,+A+B">Adji B. Dieng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ranganath,+R">Rajesh Ranganath</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Altosaar,+J">Jaan Altosaar</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Blei,+D+M">David M. Blei</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> In Proceedings of the International Conference on Machine Learning, 2018 </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/1805.01575" title="Abstract" id="1805.01575"> arXiv:1805.01575 </a> [<a href="/pdf/1805.01575" title="Download PDF" id="pdf-1805.01575" aria-labelledby="pdf-1805.01575">pdf</a>, <a href="/format/1805.01575" title="Other formats" id="oth-1805.01575" aria-labelledby="oth-1805.01575">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient methods for the estimation of the multinomial parameter for the two-trait group testing model </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Haber,+G">Gregory Haber</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Malinovsky,+Y">Yaakov Malinovsky</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='item46'>[46]</a> <a href ="/abs/1805.01577" title="Abstract" id="1805.01577"> arXiv:1805.01577 </a> [<a href="/pdf/1805.01577" title="Download PDF" id="pdf-1805.01577" aria-labelledby="pdf-1805.01577">pdf</a>, <a href="/format/1805.01577" title="Other formats" id="oth-1805.01577" aria-labelledby="oth-1805.01577">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Local angles and dimension estimation from data on manifolds </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=D%C3%ADaz,+M">Mateo D铆az</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Quiroz,+A+J">Adolfo J. Quiroz</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Velasco,+M">Mauricio Velasco</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 1 Figure </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='item47'>[47]</a> <a href ="/abs/1805.01586" title="Abstract" id="1805.01586"> arXiv:1805.01586 </a> [<a href="/pdf/1805.01586" title="Download PDF" id="pdf-1805.01586" aria-labelledby="pdf-1805.01586">pdf</a>, <a href="/format/1805.01586" title="Other formats" id="oth-1805.01586" aria-labelledby="oth-1805.01586">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Luo,+B">Bin Luo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Zhang,+Q">Qi Zhang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mohanty,+S+D">Somya D. Mohanty</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 7 Pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Other Computer Science (cs.OH) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/1805.01603" title="Abstract" id="1805.01603"> arXiv:1805.01603 </a> [<a href="/pdf/1805.01603" title="Download PDF" id="pdf-1805.01603" aria-labelledby="pdf-1805.01603">pdf</a>, <a href="/format/1805.01603" title="Other formats" id="oth-1805.01603" aria-labelledby="oth-1805.01603">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Customer Choice Model with HALO Effect </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Maragheh,+R+Y">Reza Yousefi Maragheh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chronopoulou,+A">Alexandra Chronopoulou</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Davis,+J+M">James Mario Davis</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='item49'>[49]</a> <a href ="/abs/1805.01618" title="Abstract" id="1805.01618"> arXiv:1805.01618 </a> [<a href="/pdf/1805.01618" title="Download PDF" id="pdf-1805.01618" aria-labelledby="pdf-1805.01618">pdf</a>, <a href="/format/1805.01618" title="Other formats" id="oth-1805.01618" aria-labelledby="oth-1805.01618">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distribution Assertive Regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pathak,+K">Kumarjit Pathak</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kapila,+J">Jitin Kapila</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Barvey,+A">Aasheesh Barvey</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gawande,+N">Nikit Gawande</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='item50'>[50]</a> <a href ="/abs/1805.01638" title="Abstract" id="1805.01638"> arXiv:1805.01638 </a> [<a href="/pdf/1805.01638" title="Download PDF" id="pdf-1805.01638" aria-labelledby="pdf-1805.01638">pdf</a>, <a href="/format/1805.01638" title="Other formats" id="oth-1805.01638" aria-labelledby="oth-1805.01638">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation of Extreme Survival Probabilities with Cox Model </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Grama,+I">Ion Grama</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jaunatre,+K">Kevin Jaunatre</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 31 pages, poster in SAfJR - Leiden 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 1175 entries : <span>1-50</span> <a href=/list/stat/2018-05?skip=50&show=50>51-100</a> <a href=/list/stat/2018-05?skip=100&show=50>101-150</a> <a href=/list/stat/2018-05?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/2018-05?skip=1150&show=50>1151-1175</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2018-05?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2018-05?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2018-05?skip=0&show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em">  <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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