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Statistics Jul 2015
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class='paging'>Total of 422 entries : <span>1-50</span> <a href=/list/stat/2015-07?skip=50&show=50>51-100</a> <a href=/list/stat/2015-07?skip=100&show=50>101-150</a> <a href=/list/stat/2015-07?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/2015-07?skip=400&show=50>401-422</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2015-07?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2015-07?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2015-07?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/1507.00033" title="Abstract" id="1507.00033"> arXiv:1507.00033 </a> [<a href="/pdf/1507.00033" title="Download PDF" id="pdf-1507.00033" aria-labelledby="pdf-1507.00033">pdf</a>, <a href="/format/1507.00033" title="Other formats" id="oth-1507.00033" aria-labelledby="oth-1507.00033">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spawning Models for the CPHD Filter </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bryant,+D+S">Daniel S. Bryant</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Delande,+E+D">Emmanuel D. Delande</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gehly,+S">Steven Gehly</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Houssineau,+J">Jeremie Houssineau</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Clark,+D+E">Daniel E. Clark</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Jones,+B+A">Brandon A. Jones</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/1507.00039" title="Abstract" id="1507.00039"> arXiv:1507.00039 </a> [<a href="/pdf/1507.00039" title="Download PDF" id="pdf-1507.00039" aria-labelledby="pdf-1507.00039">pdf</a>, <a href="/format/1507.00039" title="Other formats" id="oth-1507.00039" aria-labelledby="oth-1507.00039">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Selective Inference and Learning Mixed Graphical Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Lee,+J+D">Jason D. Lee</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Jason D. Lee PhD Dissertation </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/1507.00052" title="Abstract" id="1507.00052"> arXiv:1507.00052 </a> [<a href="/pdf/1507.00052" title="Download PDF" id="pdf-1507.00052" aria-labelledby="pdf-1507.00052">pdf</a>, <a href="/format/1507.00052" title="Other formats" id="oth-1507.00052" aria-labelledby="oth-1507.00052">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Gaussian Process for Noisy Inputs with Ordering Constraints </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tran,+C">Cuong Tran</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pavlovic,+V">Vladimir Pavlovic</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kopp,+R">Robert Kopp</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> submitted to NIPS 2015 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/1507.00065" title="Abstract" id="1507.00065"> arXiv:1507.00065 </a> [<a href="/pdf/1507.00065" title="Download PDF" id="pdf-1507.00065" aria-labelledby="pdf-1507.00065">pdf</a>, <a href="/format/1507.00065" title="Other formats" id="oth-1507.00065" aria-labelledby="oth-1507.00065">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On Estimating the Perimeter Using the Alpha-Shape </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Arias-Castro,+E">Ery Arias-Castro</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Casal,+A+R">Alberto Rodr铆guez Casal</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='item5'>[5]</a> <a href ="/abs/1507.00066" title="Abstract" id="1507.00066"> arXiv:1507.00066 </a> [<a href="/pdf/1507.00066" title="Download PDF" id="pdf-1507.00066" aria-labelledby="pdf-1507.00066">pdf</a>, <a href="/format/1507.00066" title="Other formats" id="oth-1507.00066" aria-labelledby="oth-1507.00066">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fast Cross-Validation for Incremental Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Joulani,+P">Pooria Joulani</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Gy%C3%B6rgy,+A">Andr谩s Gy枚rgy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Szepesv%C3%A1ri,+C">Csaba Szepesv谩ri</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Appearing in the International Joint Conference on Artificial Intelligence (IJCAI-2015), Buenos Aires, Argentina, July 2015 </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='item6'>[6]</a> <a href ="/abs/1507.00070" title="Abstract" id="1507.00070"> arXiv:1507.00070 </a> [<a href="/pdf/1507.00070" title="Download PDF" id="pdf-1507.00070" aria-labelledby="pdf-1507.00070">pdf</a>, <a href="/format/1507.00070" title="Other formats" id="oth-1507.00070" aria-labelledby="oth-1507.00070">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Random Sampling of Contingency Tables via Probabilistic Divide-and-Conquer </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=DeSalvo,+S">Stephen DeSalvo</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Zhao,+J+Y">James Y. Zhao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 32 Pages, rewritten </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Probability (math.PR) </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/1507.00108" title="Abstract" id="1507.00108"> arXiv:1507.00108 </a> [<a href="/pdf/1507.00108" title="Download PDF" id="pdf-1507.00108" aria-labelledby="pdf-1507.00108">pdf</a>, <a href="/format/1507.00108" title="Other formats" id="oth-1507.00108" aria-labelledby="oth-1507.00108">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Models for extremal dependence derived from skew-symmetric families </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Beranger,+B">Boris Beranger</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Padoan,+S+A">Simone A. Padoan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sisson,+S+A">Scott A. Sisson</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> To appear in Scandinavian Journal of Statistics </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/1507.00123" title="Abstract" id="1507.00123"> arXiv:1507.00123 </a> [<a href="/pdf/1507.00123" title="Download PDF" id="pdf-1507.00123" aria-labelledby="pdf-1507.00123">pdf</a>, <a href="/format/1507.00123" title="Other formats" id="oth-1507.00123" aria-labelledby="oth-1507.00123">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Joint Covariance Estimation with Mutual Linear Structure </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Soloveychik,+I">Ilya Soloveychik</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Wiesel,+A">Ami Wiesel</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/1507.00167" title="Abstract" id="1507.00167"> arXiv:1507.00167 </a> [<a href="/pdf/1507.00167" title="Download PDF" id="pdf-1507.00167" aria-labelledby="pdf-1507.00167">pdf</a>, <a href="/format/1507.00167" title="Other formats" id="oth-1507.00167" aria-labelledby="oth-1507.00167">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Clustering electricity consumers using high-dimensional regression mixture models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Devijver,+E">Emilie Devijver</a> (LM-Orsay, SELECT), <a href="https://arxiv.org/search/stat?searchtype=author&query=Goude,+Y">Yannig Goude</a> (EDF R\&amp;D), <a href="https://arxiv.org/search/stat?searchtype=author&query=Poggi,+J">Jean-Michel Poggi</a> (LM-Orsay)</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/1507.00171" title="Abstract" id="1507.00171"> arXiv:1507.00171 </a> [<a href="/pdf/1507.00171" title="Download PDF" id="pdf-1507.00171" aria-labelledby="pdf-1507.00171">pdf</a>, <a href="/format/1507.00171" title="Other formats" id="oth-1507.00171" aria-labelledby="oth-1507.00171">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Statistical Performance of Collaborative Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Biau,+G">G茅rard Biau</a> (LSTA), <a href="https://arxiv.org/search/math?searchtype=author&query=Bleakley,+K">Kevin Bleakley</a> (LMO, SELECT), <a href="https://arxiv.org/search/math?searchtype=author&query=Cadre,+B">Benoit Cadre</a> (ENS Rennes, UEB, IRMAR)</div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Applications (stat.AP); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/1507.00181" title="Abstract" id="1507.00181"> arXiv:1507.00181 </a> [<a href="/pdf/1507.00181" title="Download PDF" id="pdf-1507.00181" aria-labelledby="pdf-1507.00181">pdf</a>, <a href="/format/1507.00181" title="Other formats" id="oth-1507.00181" aria-labelledby="oth-1507.00181">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian Additive Regression Trees using Bayesian Model Averaging </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Hern%C3%A1ndez,+B">Belinda Hern谩ndez</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Raftery,+A+E">Adrian E. Raftery</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pennington,+S+R">Stephen R. Pennington</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Parnell,+A+C">Andrew C. Parnell</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/1507.00210" title="Abstract" id="1507.00210"> arXiv:1507.00210 </a> [<a href="/pdf/1507.00210" title="Download PDF" id="pdf-1507.00210" aria-labelledby="pdf-1507.00210">pdf</a>, <a href="/format/1507.00210" title="Other formats" id="oth-1507.00210" aria-labelledby="oth-1507.00210">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Natural Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Desjardins,+G">Guillaume Desjardins</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Simonyan,+K">Karen Simonyan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pascanu,+R">Razvan Pascanu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kavukcuoglu,+K">Koray Kavukcuoglu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/1507.00220" title="Abstract" id="1507.00220"> arXiv:1507.00220 </a> [<a href="/pdf/1507.00220" title="Download PDF" id="pdf-1507.00220" aria-labelledby="pdf-1507.00220">pdf</a>, <a href="/format/1507.00220" title="Other formats" id="oth-1507.00220" aria-labelledby="oth-1507.00220">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bigeometric Organization of Deep Nets </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cloninger,+A">Alexander Cloninger</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Coifman,+R+R">Ronald R. Coifman</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Downing,+N">Nicholas Downing</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Krumholz,+H+M">Harlan M. Krumholz</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='item14'>[14]</a> <a href ="/abs/1507.00225" title="Abstract" id="1507.00225"> arXiv:1507.00225 </a> [<a href="/pdf/1507.00225" title="Download PDF" id="pdf-1507.00225" aria-labelledby="pdf-1507.00225">pdf</a>, <a href="/format/1507.00225" title="Other formats" id="oth-1507.00225" aria-labelledby="oth-1507.00225">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling Compositional Regression with uncorrelated and correlated errors: a Bayesian approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Shimizu,+T+K+O">Taciana K. O. Shimizu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Louzada,+F">Francisco Louzada</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Suzuki,+A+K">Adriano K. Suzuki</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ehlers,+R+S">Ricardo S. Ehlers</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='item15'>[15]</a> <a href ="/abs/1507.00300" title="Abstract" id="1507.00300"> arXiv:1507.00300 </a> [<a href="/pdf/1507.00300" title="Download PDF" id="pdf-1507.00300" aria-labelledby="pdf-1507.00300">pdf</a>, <a href="/format/1507.00300" title="Other formats" id="oth-1507.00300" aria-labelledby="oth-1507.00300">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bootstrapped Thompson Sampling and Deep Exploration </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Osband,+I">Ian Osband</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Van+Roy,+B">Benjamin Van Roy</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/1507.00363" title="Abstract" id="1507.00363"> arXiv:1507.00363 </a> [<a href="/pdf/1507.00363" title="Download PDF" id="pdf-1507.00363" aria-labelledby="pdf-1507.00363">pdf</a>, <a href="/format/1507.00363" title="Other formats" id="oth-1507.00363" aria-labelledby="oth-1507.00363">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Predicting Melbourne Ambulance Demand using Kernel Warping </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhou,+Z">Zhengyi Zhou</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Matteson,+D+S">David S. Matteson</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='item17'>[17]</a> <a href ="/abs/1507.00364" title="Abstract" id="1507.00364"> arXiv:1507.00364 </a> [<a href="/pdf/1507.00364" title="Download PDF" id="pdf-1507.00364" aria-labelledby="pdf-1507.00364">pdf</a>, <a href="/format/1507.00364" title="Other formats" id="oth-1507.00364" aria-labelledby="oth-1507.00364">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zhou,+Z">Zhengyi Zhou</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Matteson,+D+S">David S. Matteson</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='item18'>[18]</a> <a href ="/abs/1507.00398" title="Abstract" id="1507.00398"> arXiv:1507.00398 </a> [<a href="/pdf/1507.00398" title="Download PDF" id="pdf-1507.00398" aria-labelledby="pdf-1507.00398">pdf</a>, <a href="/format/1507.00398" title="Other formats" id="oth-1507.00398" aria-labelledby="oth-1507.00398">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Parallel C++ Statistical Library for Bayesian Inference: QUESO </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=McDougall,+D">Damon McDougall</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Malaya,+N">Nicholas Malaya</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Moser,+R+D">Robert D. Moser</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='item19'>[19]</a> <a href ="/abs/1507.00420" title="Abstract" id="1507.00420"> arXiv:1507.00420 </a> [<a href="/pdf/1507.00420" title="Download PDF" id="pdf-1507.00420" aria-labelledby="pdf-1507.00420">pdf</a>, <a href="/format/1507.00420" title="Other formats" id="oth-1507.00420" aria-labelledby="oth-1507.00420">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Globally adaptive quantile regression with ultra-high dimensional data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Zheng,+Q">Qi Zheng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Peng,+L">Limin Peng</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=He,+X">Xuming He</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This paper has been withdrawn by the author due to a crucial proof error in Appendix </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/1507.00433" title="Abstract" id="1507.00433"> arXiv:1507.00433 </a> [<a href="/pdf/1507.00433" title="Download PDF" id="pdf-1507.00433" aria-labelledby="pdf-1507.00433">pdf</a>, <a href="/format/1507.00433" title="Other formats" id="oth-1507.00433" aria-labelledby="oth-1507.00433">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation of High-Dimensional Graphical Models Using Regularized Score Matching </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Lin,+L">Lina Lin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Drton,+M">Mathias Drton</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shojaie,+A">Ali Shojaie</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='item21'>[21]</a> <a href ="/abs/1507.00507" title="Abstract" id="1507.00507"> arXiv:1507.00507 </a> [<a href="/pdf/1507.00507" title="Download PDF" id="pdf-1507.00507" aria-labelledby="pdf-1507.00507">pdf</a>, <a href="/format/1507.00507" title="Other formats" id="oth-1507.00507" aria-labelledby="oth-1507.00507">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Identification of stable models via nonparametric prediction error methods </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Romeres,+D">Diego Romeres</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pillonetto,+G">Gianluigi Pillonetto</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chiuso,+A">Alessandro Chiuso</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> number of pages = 6, number of figures = 3 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/1507.00513" title="Abstract" id="1507.00513"> arXiv:1507.00513 </a> [<a href="/pdf/1507.00513" title="Download PDF" id="pdf-1507.00513" aria-labelledby="pdf-1507.00513">pdf</a>, <a href="/format/1507.00513" title="Other formats" id="oth-1507.00513" aria-labelledby="oth-1507.00513">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning the intensity of time events with change-points </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Alaya,+M+Z">Mokhtar Zahdi Alaya</a> (LSTA), <a href="https://arxiv.org/search/math?searchtype=author&query=Ga%C3%AFffas,+S">St茅phane Ga茂ffas</a> (CMAP), <a href="https://arxiv.org/search/math?searchtype=author&query=Guilloux,+A">Agathe Guilloux</a> (LSTA)</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='item23'>[23]</a> <a href ="/abs/1507.00543" title="Abstract" id="1507.00543"> arXiv:1507.00543 </a> [<a href="/pdf/1507.00543" title="Download PDF" id="pdf-1507.00543" aria-labelledby="pdf-1507.00543">pdf</a>, <a href="/format/1507.00543" title="Other formats" id="oth-1507.00543" aria-labelledby="oth-1507.00543">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Romeres,+D">D. Romeres</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Prando,+G">G. Prando</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Pillonetto,+G">G. Pillonetto</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chiuso,+A">A. Chiuso</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> number of pages = 8, number of figures = 4 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/1507.00565" title="Abstract" id="1507.00565"> arXiv:1507.00565 </a> [<a href="/pdf/1507.00565" title="Download PDF" id="pdf-1507.00565" aria-labelledby="pdf-1507.00565">pdf</a>, <a href="/format/1507.00565" title="Other formats" id="oth-1507.00565" aria-labelledby="oth-1507.00565">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Hierarchical Dynamic Beta Regression Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Schmidt,+A+M">Alexandra M. Schmidt</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=de+Moraes,+C+P">Caroline P. de Moraes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Migon,+H+S">Helio S. Migon</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='item25'>[25]</a> <a href ="/abs/1507.00566" title="Abstract" id="1507.00566"> arXiv:1507.00566 </a> [<a href="/pdf/1507.00566" title="Download PDF" id="pdf-1507.00566" aria-labelledby="pdf-1507.00566">pdf</a>, <a href="/format/1507.00566" title="Other formats" id="oth-1507.00566" aria-labelledby="oth-1507.00566">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Anomaly Detection and Removal Using Non-Stationary Gaussian Processes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Reece,+S">Steven Reece</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Garnett,+R">Roman Garnett</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Osborne,+M">Michael Osborne</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roberts,+S">Stephen Roberts</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 9 pages, 14 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/1507.00634" title="Abstract" id="1507.00634"> arXiv:1507.00634 </a> [<a href="/pdf/1507.00634" title="Download PDF" id="pdf-1507.00634" aria-labelledby="pdf-1507.00634">pdf</a>, <a href="/format/1507.00634" title="Other formats" id="oth-1507.00634" aria-labelledby="oth-1507.00634">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Competitive balance measures and the Uncertainty of Outcome Hypothesis in European football </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Manasis,+V">Vasileios Manasis</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ntzoufras,+I">Ioannis Ntzoufras</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Reade,+J">James Reade</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='item27'>[27]</a> <a href ="/abs/1507.00677" title="Abstract" id="1507.00677"> arXiv:1507.00677 </a> [<a href="/pdf/1507.00677" title="Download PDF" id="pdf-1507.00677" aria-labelledby="pdf-1507.00677">pdf</a>, <a href="/format/1507.00677" title="Other formats" id="oth-1507.00677" aria-labelledby="oth-1507.00677">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distributional Smoothing with Virtual Adversarial Training </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Miyato,+T">Takeru Miyato</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Maeda,+S">Shin-ichi Maeda</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Koyama,+M">Masanori Koyama</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nakae,+K">Ken Nakae</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ishii,+S">Shin Ishii</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Under review as a conference paper at ICLR 2016 </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/1507.00683" title="Abstract" id="1507.00683"> arXiv:1507.00683 </a> [<a href="/pdf/1507.00683" title="Download PDF" id="pdf-1507.00683" aria-labelledby="pdf-1507.00683">pdf</a>, <a href="/format/1507.00683" title="Other formats" id="oth-1507.00683" aria-labelledby="oth-1507.00683">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Temperatures in transient climates: improved methods for simulations with evolving temporal covariances </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Poppick,+A">Andrew Poppick</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=McInerney,+D+J">David J. McInerney</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Moyer,+E+J">Elisabeth J. Moyer</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stein,+M+L">Michael L. Stein</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 35 pages, 15 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/1507.00720" title="Abstract" id="1507.00720"> arXiv:1507.00720 </a> [<a href="/pdf/1507.00720" title="Download PDF" id="pdf-1507.00720" aria-labelledby="pdf-1507.00720">pdf</a>, <a href="/format/1507.00720" title="Other formats" id="oth-1507.00720" aria-labelledby="oth-1507.00720">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Correlated Random Measures </div> <div class='list-authors'><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=Blei,+D">David Blei</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/1507.00747" title="Abstract" id="1507.00747"> arXiv:1507.00747 </a> [<a href="/pdf/1507.00747" title="Download PDF" id="pdf-1507.00747" aria-labelledby="pdf-1507.00747">pdf</a>, <a href="/format/1507.00747" title="Other formats" id="oth-1507.00747" aria-labelledby="oth-1507.00747">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Nonparametric methods for doubly robust estimation of continuous treatment effects </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kennedy,+E+H">Edward H. Kennedy</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ma,+Z">Zongming Ma</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=McHugh,+M+D">Matthew D. McHugh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Small,+D+S">Dylan S. Small</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='item31'>[31]</a> <a href ="/abs/1507.00749" title="Abstract" id="1507.00749"> arXiv:1507.00749 </a> [<a href="/pdf/1507.00749" title="Download PDF" id="pdf-1507.00749" aria-labelledby="pdf-1507.00749">pdf</a>, <a href="/format/1507.00749" title="Other formats" id="oth-1507.00749" aria-labelledby="oth-1507.00749">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ACME: A Partially Periodic Estimator of Avian & Chiropteran Mortality at Wind Turbines </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wolpert,+R+L">Robert L. Wolpert</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='item32'>[32]</a> <a href ="/abs/1507.00803" title="Abstract" id="1507.00803"> arXiv:1507.00803 </a> [<a href="/pdf/1507.00803" title="Download PDF" id="pdf-1507.00803" aria-labelledby="pdf-1507.00803">pdf</a>, <a href="/format/1507.00803" title="Other formats" id="oth-1507.00803" aria-labelledby="oth-1507.00803">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Model-assisted design of experiments in the presence of network correlated outcomes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Basse,+G+W">Guillaume W. Basse</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Airoldi,+E+M">Edoardo M. Airoldi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 56 pages, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/1507.00827" title="Abstract" id="1507.00827"> arXiv:1507.00827 </a> [<a href="/pdf/1507.00827" title="Download PDF" id="pdf-1507.00827" aria-labelledby="pdf-1507.00827">pdf</a>, <a href="/format/1507.00827" title="Other formats" id="oth-1507.00827" aria-labelledby="oth-1507.00827">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimating the number of communities in networks by spectral methods </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Le,+C+M">Can M. Le</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Levina,+E">Elizaveta Levina</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Social and Information Networks (cs.SI); Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/1507.00832" title="Abstract" id="1507.00832"> arXiv:1507.00832 </a> [<a href="/pdf/1507.00832" title="Download PDF" id="pdf-1507.00832" aria-labelledby="pdf-1507.00832">pdf</a>, <a href="/format/1507.00832" title="Other formats" id="oth-1507.00832" aria-labelledby="oth-1507.00832">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Efficiency of Density Deconvolution </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Wager,+S">Stefan Wager</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='item35'>[35]</a> <a href ="/abs/1507.00874" title="Abstract" id="1507.00874"> arXiv:1507.00874 </a> [<a href="/pdf/1507.00874" title="Download PDF" id="pdf-1507.00874" aria-labelledby="pdf-1507.00874">pdf</a>, <a href="/format/1507.00874" title="Other formats" id="oth-1507.00874" aria-labelledby="oth-1507.00874">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adapting the ABC distance function </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Prangle,+D">Dennis Prangle</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Revised based on referee reports, including addition of a new method (Algorithm 4) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/1507.00919" title="Abstract" id="1507.00919"> arXiv:1507.00919 </a> [<a href="/pdf/1507.00919" title="Download PDF" id="pdf-1507.00919" aria-labelledby="pdf-1507.00919">pdf</a>, <a href="/format/1507.00919" title="Other formats" id="oth-1507.00919" aria-labelledby="oth-1507.00919">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Rare Event Simulation and Splitting for Discontinuous Random Variables </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Walter,+C">Cl茅ment Walter</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages (12 + Appendix 4 pages), 6 figures </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='item37'>[37]</a> <a href ="/abs/1507.00964" title="Abstract" id="1507.00964"> arXiv:1507.00964 </a> [<a href="/pdf/1507.00964" title="Download PDF" id="pdf-1507.00964" aria-labelledby="pdf-1507.00964">pdf</a>, <a href="/format/1507.00964" title="Other formats" id="oth-1507.00964" aria-labelledby="oth-1507.00964">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Non-parametric estimation of Fisher information from real data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Shemesh,+O+H">Omri Har Shemesh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Quax,+R">Rick Quax</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mi%C3%B1ano,+B">Borja Mi帽ano</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hoekstra,+A+G">Alfons G. Hoekstra</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sloot,+P+M+A">Peter M. A. Sloot</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 5 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Phys. Rev. E 93, 023301 (2016) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Computational Physics (physics.comp-ph) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/1507.00965" title="Abstract" id="1507.00965"> arXiv:1507.00965 </a> [<a href="/pdf/1507.00965" title="Download PDF" id="pdf-1507.00965" aria-labelledby="pdf-1507.00965">pdf</a>, <a href="/format/1507.00965" title="Other formats" id="oth-1507.00965" aria-labelledby="oth-1507.00965">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Quadratic forms of the empirical processes for the two sample problem for functional data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=B%C3%A1rcenas,+R">R. B谩rcenas</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ortega,+J">J. Ortega</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Quiroz,+A+J">A. J. Quiroz</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 16 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='item39'>[39]</a> <a href ="/abs/1507.00996" title="Abstract" id="1507.00996"> arXiv:1507.00996 </a> [<a href="/pdf/1507.00996" title="Download PDF" id="pdf-1507.00996" aria-labelledby="pdf-1507.00996">pdf</a>, <a href="/format/1507.00996" title="Other formats" id="oth-1507.00996" aria-labelledby="oth-1507.00996">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A New Approach to Probabilistic Programming Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wood,+F">Frank Wood</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=van+de+Meent,+J+W">Jan Willem van de Meent</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mansinghka,+V">Vikash Mansinghka</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Updated version of the 2014 AISTATS paper (to reflect changes in new language syntax). 10 pages, 3 figures. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, JMLR Workshop and Conference Proceedings, Vol 33, 2014 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Artificial Intelligence (cs.AI); Programming Languages (cs.PL) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/1507.01037" title="Abstract" id="1507.01037"> arXiv:1507.01037 </a> [<a href="/pdf/1507.01037" title="Download PDF" id="pdf-1507.01037" aria-labelledby="pdf-1507.01037">pdf</a>, <a href="/format/1507.01037" title="Other formats" id="oth-1507.01037" aria-labelledby="oth-1507.01037">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Fan,+J">Jianqing Fan</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Liu,+H">Han Liu</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Sun,+Q">Qiang Sun</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Zhang,+T">Tong Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 66 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/1507.01044" title="Abstract" id="1507.01044"> arXiv:1507.01044 </a> [<a href="/pdf/1507.01044" title="Download PDF" id="pdf-1507.01044" aria-labelledby="pdf-1507.01044">pdf</a>, <a href="/format/1507.01044" title="Other formats" id="oth-1507.01044" aria-labelledby="oth-1507.01044">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A first look at the performances of a Bayesian chart to monitor the ratio of two Weibull percentiles </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Erto,+P">Pasquale Erto</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 9 pages, 3 figures, 3 tables. Invited talk at the 4th International Symposium on Statistical Process Monitoring (<a href="http://isspm2015.stat.unipd.it" rel="external noopener nofollow" class="link-external link-http">this http URL</a>), July 7-9, 2015, Padua, Italy </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/1507.01059" title="Abstract" id="1507.01059"> arXiv:1507.01059 </a> [<a href="/pdf/1507.01059" title="Download PDF" id="pdf-1507.01059" aria-labelledby="pdf-1507.01059">pdf</a>, <a href="/format/1507.01059" title="Other formats" id="oth-1507.01059" aria-labelledby="oth-1507.01059">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Remarks on kernel Bayes' rule </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Johno,+H">Hisashi Johno</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nakamoto,+K">Kazunori Nakamoto</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Saigo,+T">Tatsuhiko Saigo</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 22 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/1507.01073" title="Abstract" id="1507.01073"> arXiv:1507.01073 </a> [<a href="/pdf/1507.01073" title="Download PDF" id="pdf-1507.01073" aria-labelledby="pdf-1507.01073">pdf</a>, <a href="/format/1507.01073" title="Other formats" id="oth-1507.01073" aria-labelledby="oth-1507.01073">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Convex Factorization Machine for Regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yamada,+M">Makoto Yamada</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lian,+W">Wenzhao Lian</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Goyal,+A">Amit Goyal</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chen,+J">Jianhui Chen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wimalawarne,+K">Kishan Wimalawarne</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Khan,+S+A">Suleiman A Khan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kaski,+S">Samuel Kaski</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mamitsuka,+H">Hiroshi Mamitsuka</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Chang,+Y">Yi Chang</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='item44'>[44]</a> <a href ="/abs/1507.01135" title="Abstract" id="1507.01135"> arXiv:1507.01135 </a> [<a href="/pdf/1507.01135" title="Download PDF" id="pdf-1507.01135" aria-labelledby="pdf-1507.01135">pdf</a>, <a href="/format/1507.01135" title="Other formats" id="oth-1507.01135" aria-labelledby="oth-1507.01135">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> DPM: A State Space Model for Large-Scale Direct Marketing </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Park,+Y">Yubin Park</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Khanna,+R">Rajiv Khanna</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ghosh,+J">Joydeep Ghosh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Mihalko,+D">Daniel Mihalko</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='item45'>[45]</a> <a href ="/abs/1507.01154" title="Abstract" id="1507.01154"> arXiv:1507.01154 </a> [<a href="/pdf/1507.01154" title="Download PDF" id="pdf-1507.01154" aria-labelledby="pdf-1507.01154">pdf</a>, <a href="/format/1507.01154" title="Other formats" id="oth-1507.01154" aria-labelledby="oth-1507.01154">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Inference for determinantal point processes without spectral knowledge </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Bardenet,+R">R茅mi Bardenet</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Titsias,+M+K">Michalis K. Titsias</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/1507.01173" title="Abstract" id="1507.01173"> arXiv:1507.01173 </a> [<a href="/pdf/1507.01173" title="Download PDF" id="pdf-1507.01173" aria-labelledby="pdf-1507.01173">pdf</a>, <a href="/format/1507.01173" title="Other formats" id="oth-1507.01173" aria-labelledby="oth-1507.01173">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Model Diagnostics Based on Cumulative Residuals: The R-package gof </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Holst,+K+K">Klaus K. Holst</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Computation (stat.CO) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/1507.01179" title="Abstract" id="1507.01179"> arXiv:1507.01179 </a> [<a href="/pdf/1507.01179" title="Download PDF" id="pdf-1507.01179" aria-labelledby="pdf-1507.01179">pdf</a>, <a href="/format/1507.01179" title="Other formats" id="oth-1507.01179" aria-labelledby="oth-1507.01179">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian inference for latent factor GARCH models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pitt,+M+K">Michael K. Pitt</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Hall,+J">Jamie Hall</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kohn,+R">Robert Kohn</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 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='item48'>[48]</a> <a href ="/abs/1507.01182" title="Abstract" id="1507.01182"> arXiv:1507.01182 </a> [<a href="/pdf/1507.01182" title="Download PDF" id="pdf-1507.01182" aria-labelledby="pdf-1507.01182">pdf</a>, <a href="/format/1507.01182" title="Other formats" id="oth-1507.01182" aria-labelledby="oth-1507.01182">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A latent variable model with mixed binary and continuous response variables </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Holst,+K+K">Klaus K. Holst</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Budtz-J%C3%B8rgensen,+E">Esben Budtz-J酶rgensen</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Knudsen,+G+M">Gitte Moos Knudsen</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='item49'>[49]</a> <a href ="/abs/1507.01242" title="Abstract" id="1507.01242"> arXiv:1507.01242 </a> [<a href="/pdf/1507.01242" title="Download PDF" id="pdf-1507.01242" aria-labelledby="pdf-1507.01242">pdf</a>, <a href="/format/1507.01242" title="Other formats" id="oth-1507.01242" aria-labelledby="oth-1507.01242">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=DeYoreo,+M">Maria DeYoreo</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kottas,+A">Athanasios Kottas</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='item50'>[50]</a> <a href ="/abs/1507.01296" title="Abstract" id="1507.01296"> arXiv:1507.01296 </a> [<a href="/pdf/1507.01296" title="Download PDF" id="pdf-1507.01296" aria-labelledby="pdf-1507.01296">pdf</a>, <a href="/format/1507.01296" title="Other formats" id="oth-1507.01296" aria-labelledby="oth-1507.01296">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Uncertainty Quantification Under Group Sparsity </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Zhou,+Q">Qing Zhou</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Min,+S">Seunghyun Min</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 44 pages </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Biometrika, 104: 613-632, 2017 </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> </dl> <div class='paging'>Total of 422 entries : <span>1-50</span> <a href=/list/stat/2015-07?skip=50&show=50>51-100</a> <a href=/list/stat/2015-07?skip=100&show=50>101-150</a> <a href=/list/stat/2015-07?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/2015-07?skip=400&show=50>401-422</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2015-07?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2015-07?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2015-07?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; line-height: 2;"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul style="list-style: none; 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