Statistics Feb 2012

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href=/list/stat/2012-02?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2012-02?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2012-02?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/1202.0048" title="Abstract" id="1202.0048"> arXiv:1202.0048 </a> [<a href="/pdf/1202.0048" title="Download PDF" id="pdf-1202.0048" aria-labelledby="pdf-1202.0048">pdf</a>, <a href="/format/1202.0048" title="Other formats" id="oth-1202.0048" aria-labelledby="oth-1202.0048">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> P-values, q-values and posterior probabilities for equivalence in genomics studies </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Tuke,+J">J. Tuke</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Glonek,+G+F+V">G. F. V. Glonek</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Solomon,+P+J">P. J. Solomon</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 26 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Statistics Theory (math.ST); Quantitative Methods (q-bio.QM); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/1202.0078" title="Abstract" id="1202.0078"> arXiv:1202.0078 </a> [<a href="/pdf/1202.0078" title="Download PDF" id="pdf-1202.0078" aria-labelledby="pdf-1202.0078">pdf</a>, <a href="/format/1202.0078" title="Other formats" id="oth-1202.0078" aria-labelledby="oth-1202.0078">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Class Coupler for Perfect Sampling from Continuous Distributions With and Without Atoms </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Mao,+W">Wenjin Mao</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Corcoran,+J">Jem Corcoran</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages, 9 figures; Journal of Statistical Theory and Applications Volume 10, Number 3, 2011 </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='item3'>[3]</a> <a href ="/abs/1202.0101" title="Abstract" id="1202.0101"> arXiv:1202.0101 </a> [<a href="/pdf/1202.0101" title="Download PDF" id="pdf-1202.0101" aria-labelledby="pdf-1202.0101">pdf</a>, <a href="/format/1202.0101" title="Other formats" id="oth-1202.0101" aria-labelledby="oth-1202.0101">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the Asymptotic Distribution of Variance Weighted KS Statistics </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Armstrong,+T+B">Timothy B. Armstrong</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/1202.0193" title="Abstract" id="1202.0193"> arXiv:1202.0193 </a> [<a href="/pdf/1202.0193" title="Download PDF" id="pdf-1202.0193" aria-labelledby="pdf-1202.0193">pdf</a>, <a href="/format/1202.0193" title="Other formats" id="oth-1202.0193" aria-labelledby="oth-1202.0193">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Maximum entropy estimation of probability distributions with Gaussian conditions </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Pop,+M">Mihail-Ioan Pop</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Computation (stat.CO); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/1202.0258" title="Abstract" id="1202.0258"> arXiv:1202.0258 </a> [<a href="/pdf/1202.0258" title="Download PDF" id="pdf-1202.0258" aria-labelledby="pdf-1202.0258">pdf</a>, <a href="/format/1202.0258" title="Other formats" id="oth-1202.0258" aria-labelledby="oth-1202.0258">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> About adaptive coding on countable alphabets </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Bontemps,+D">Dominique Bontemps</a> (IMT), <a href="https://arxiv.org/search/math?searchtype=author&query=Boucheron,+S">St茅phane Boucheron</a> (LPMA), <a href="https://arxiv.org/search/math?searchtype=author&query=Gassiat,+E">Elisabeth Gassiat</a> (LM-Orsay)</div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> IEEE Transactions on Information Theory 60, 2 (2014) 808-821 </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='item6'>[6]</a> <a href ="/abs/1202.0373" title="Abstract" id="1202.0373"> arXiv:1202.0373 </a> [<a href="/pdf/1202.0373" title="Download PDF" id="pdf-1202.0373" aria-labelledby="pdf-1202.0373">pdf</a>, <a href="/format/1202.0373" title="Other formats" id="oth-1202.0373" aria-labelledby="oth-1202.0373">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Partial Sliced Inverse Regression for Quality-Relevant Multivariate Statistical Process Monitoring </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Yu,+Y">Yue Yu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sun,+Z">Zhijie Sun</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='item7'>[7]</a> <a href ="/abs/1202.0391" title="Abstract" id="1202.0391"> arXiv:1202.0391 </a> [<a href="/pdf/1202.0391" title="Download PDF" id="pdf-1202.0391" aria-labelledby="pdf-1202.0391">pdf</a>, <a href="/format/1202.0391" title="Other formats" id="oth-1202.0391" aria-labelledby="oth-1202.0391">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Parametric or nonparametric? A parametricness index for model selection </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Liu,+W">Wei Liu</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Yang,+Y">Yuhong Yang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/11-AOS899" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Annals of Statistics (<a href="http://www.imstat.org/aos/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Statistics 2011, Vol. 39, No. 4, 2074-2102 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span> </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/1202.0500" title="Abstract" id="1202.0500"> arXiv:1202.0500 </a> [<a href="/pdf/1202.0500" title="Download PDF" id="pdf-1202.0500" aria-labelledby="pdf-1202.0500">pdf</a>, <a href="/format/1202.0500" title="Other formats" id="oth-1202.0500" aria-labelledby="oth-1202.0500">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Wiki surveys: Open and quantifiable social data collection </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Salganik,+M+J">Matthew J. Salganik</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Levy,+K+E+C">Karen E. C. Levy</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 24 pages, 8 figures, 1 table </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Computers and Society (cs.CY) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/1202.0502" title="Abstract" id="1202.0502"> arXiv:1202.0502 </a> [<a href="/pdf/1202.0502" title="Download PDF" id="pdf-1202.0502" aria-labelledby="pdf-1202.0502">pdf</a>, <a href="/format/1202.0502" title="Other formats" id="oth-1202.0502" aria-labelledby="oth-1202.0502">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Lasso-type estimators for Semiparametric Nonlinear Mixed-Effects Models Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Arribas-Gil,+A">Ana Arribas-Gil</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Bertin,+K">Karine Bertin</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Meza,+C">Cristian Meza</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rivoirard,+V">Vincent Rivoirard</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 36 pages, 6 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='item10'>[10]</a> <a href ="/abs/1202.0514" title="Abstract" id="1202.0514"> arXiv:1202.0514 </a> [<a href="/pdf/1202.0514" title="Download PDF" id="pdf-1202.0514" aria-labelledby="pdf-1202.0514">pdf</a>, <a href="/format/1202.0514" title="Other formats" id="oth-1202.0514" aria-labelledby="oth-1202.0514">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A class of goodness-of-fit tests for spatial extremes models based on max-stable processes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Kojadinovic,+I">Ivan Kojadinovic</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shang,+H">Hongwei Shang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yan,+J">Jun Yan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages, 3 figures, 5 tables </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Statistics and Its Interface 8:1, pages 45-62, 2015 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/1202.0515" title="Abstract" id="1202.0515"> arXiv:1202.0515 </a> [<a href="/pdf/1202.0515" title="Download PDF" id="pdf-1202.0515" aria-labelledby="pdf-1202.0515">pdf</a>, <a href="/format/1202.0515" title="Other formats" id="oth-1202.0515" aria-labelledby="oth-1202.0515">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso </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=Jitkrittum,+W">Wittawat Jitkrittum</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sigal,+L">Leonid Sigal</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xing,+E+P">Eric P. Xing</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sugiyama,+M">Masashi Sugiyama</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 pages </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Neural Computation 2014 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Artificial Intelligence (cs.AI); Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/1202.0517" title="Abstract" id="1202.0517"> arXiv:1202.0517 </a> [<a href="/pdf/1202.0517" title="Download PDF" id="pdf-1202.0517" aria-labelledby="pdf-1202.0517">pdf</a>, <a href="/format/1202.0517" title="Other formats" id="oth-1202.0517" aria-labelledby="oth-1202.0517">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Application of Bayesian Variable Selection to Spatial Concurrent Linear Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Shang,+Z">Zuofeng Shang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Clayton,+M+K">Murray K. Clayton</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span> </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/1202.0625" title="Abstract" id="1202.0625"> arXiv:1202.0625 </a> [<a href="/pdf/1202.0625" title="Download PDF" id="pdf-1202.0625" aria-labelledby="pdf-1202.0625">pdf</a>, <a href="/format/1202.0625" title="Other formats" id="oth-1202.0625" aria-labelledby="oth-1202.0625">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Robert,+C+P">Christian P. Robert</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/11-STS352A" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Statistical Science (<a href="http://www.imstat.org/sts/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Statistical Science 2011, Vol. 26, No. 3, 317-318 </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/1202.0627" title="Abstract" id="1202.0627"> arXiv:1202.0627 </a> [<a href="/pdf/1202.0627" title="Download PDF" id="pdf-1202.0627" aria-labelledby="pdf-1202.0627">pdf</a>, <a href="/format/1202.0627" title="Other formats" id="oth-1202.0627" aria-labelledby="oth-1202.0627">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Singh,+K">Kesar Singh</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Xie,+M">Minge Xie</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/11-STS352B" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Statistical Science (<a href="http://www.imstat.org/sts/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Statistical Science 2011, Vol. 26, No. 3, 319-321 </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/1202.0633" title="Abstract" id="1202.0633"> arXiv:1202.0633 </a> [<a href="/pdf/1202.0633" title="Download PDF" id="pdf-1202.0633" aria-labelledby="pdf-1202.0633">pdf</a>, <a href="/format/1202.0633" title="Other formats" id="oth-1202.0633" aria-labelledby="oth-1202.0633">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Frasian Inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wasserman,+L">Larry Wasserman</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/11-STS352C" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Statistical Science (<a href="http://www.imstat.org/sts/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Statistical Science 2011, Vol. 26, No. 3, 322-325 </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/1202.0696" title="Abstract" id="1202.0696"> arXiv:1202.0696 </a> [<a href="/pdf/1202.0696" title="Download PDF" id="pdf-1202.0696" aria-labelledby="pdf-1202.0696">pdf</a>, <a href="/format/1202.0696" title="Other formats" id="oth-1202.0696" aria-labelledby="oth-1202.0696">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Note on the One and Two-Sided Z Tests </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=McConnell,+T+R">Trrry R. McConnell</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='item17'>[17]</a> <a href ="/abs/1202.0709" title="Abstract" id="1202.0709"> arXiv:1202.0709 </a> [<a href="/pdf/1202.0709" title="Download PDF" id="pdf-1202.0709" aria-labelledby="pdf-1202.0709">pdf</a>, <a href="/format/1202.0709" title="Other formats" id="oth-1202.0709" aria-labelledby="oth-1202.0709">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Cotter,+S+L">S. L. Cotter</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Roberts,+G+O">G. O. Roberts</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stuart,+A+M">A. M. Stuart</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=White,+D">D. White</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/13-STS421" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Statistical Science (<a href="http://www.imstat.org/sts/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Statistical Science 2013, Vol. 28, No. 3, 424-446 </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='item18'>[18]</a> <a href ="/abs/1202.0753" title="Abstract" id="1202.0753"> arXiv:1202.0753 </a> [<a href="/pdf/1202.0753" title="Download PDF" id="pdf-1202.0753" aria-labelledby="pdf-1202.0753">pdf</a>, <a href="/format/1202.0753" title="Other formats" id="oth-1202.0753" aria-labelledby="oth-1202.0753">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Simulation of stochastic systems via polynomial chaos expansions and convex optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Fagiano,+L">Lorenzo Fagiano</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Khammash,+M">Mustafa Khammash</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This manuscript is a preprint of a paper published on Physical Reviews E and is subject to American Physical Society copyright. The copy of record is available at <a href="http://pre.aps.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>. <a href="http://link.aps.org/doi/10.1103/PhysRevE.86.036702" rel="external noopener nofollow" class="link-external link-http">this http URL</a> </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Physical Reviews E, Volume 86, Issue 3, 036702, 2012 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span>; Systems and Control (eess.SY); Mathematical Physics (math-ph); Dynamical Systems (math.DS); Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/1202.0786" title="Abstract" id="1202.0786"> arXiv:1202.0786 </a> [<a href="/pdf/1202.0786" title="Download PDF" id="pdf-1202.0786" aria-labelledby="pdf-1202.0786">pdf</a>, <a href="/format/1202.0786" title="Other formats" id="oth-1202.0786" aria-labelledby="oth-1202.0786">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Minimax Rates of Estimation for Sparse PCA in High Dimensions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Vu,+V+Q">Vincent Q. Vu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lei,+J">Jing Lei</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> To appear in Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, La Palma, Canary Islands. Volume 22 of JMLR: W&CP 22 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span>; Machine Learning (cs.LG); Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/1202.0825" title="Abstract" id="1202.0825"> arXiv:1202.0825 </a> [<a href="/pdf/1202.0825" title="Download PDF" id="pdf-1202.0825" aria-labelledby="pdf-1202.0825">pdf</a>, <a href="/format/1202.0825" title="Other formats" id="oth-1202.0825" aria-labelledby="oth-1202.0825">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multi-view predictive partitioning in high dimensions </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=McWilliams,+B">Brian McWilliams</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Montana,+G">Giovanni Montana</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 31 pages, 12 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='item21'>[21]</a> <a href ="/abs/1202.0836" title="Abstract" id="1202.0836"> arXiv:1202.0836 </a> [<a href="/pdf/1202.0836" title="Download PDF" id="pdf-1202.0836" aria-labelledby="pdf-1202.0836">pdf</a>, <a href="/format/1202.0836" title="Other formats" id="oth-1202.0836" aria-labelledby="oth-1202.0836">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks? </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Varoquaux,+G">Ga毛l Varoquaux</a> (LNAO, INRIA Saclay - Ile de France), <a href="https://arxiv.org/search/stat?searchtype=author&query=Gramfort,+A">Alexandre Gramfort</a> (LNAO, INRIA Saclay - Ile de France), <a href="https://arxiv.org/search/stat?searchtype=author&query=Poline,+J+B">Jean Baptiste Poline</a> (LNAO, INRIA Saclay - Ile de France), <a href="https://arxiv.org/search/stat?searchtype=author&query=Thirion,+B">Bertrand Thirion</a> (LNAO, INRIA Saclay - Ile de France)</div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Journal of Physiology - Paris (2012) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Applications (stat.AP)</span>; Neurons and Cognition (q-bio.NC) </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/1202.0850" title="Abstract" id="1202.0850"> arXiv:1202.0850 </a> [<a href="/pdf/1202.0850" title="Download PDF" id="pdf-1202.0850" aria-labelledby="pdf-1202.0850">pdf</a>, <a href="/format/1202.0850" title="Other formats" id="oth-1202.0850" aria-labelledby="oth-1202.0850">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Relationship Among the Standard Deviation of a Dataset and the Standard Deviation and Average Two Part of This Set </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=de+Morais,+J+F">Jose Fausto de Morais</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='item23'>[23]</a> <a href ="/abs/1202.0889" title="Abstract" id="1202.0889"> arXiv:1202.0889 </a> [<a href="/pdf/1202.0889" title="Download PDF" id="pdf-1202.0889" aria-labelledby="pdf-1202.0889">pdf</a>, <a href="/format/1202.0889" title="Other formats" id="oth-1202.0889" aria-labelledby="oth-1202.0889">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Sign-constrained least squares estimation for high-dimensional regression </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Meinshausen,+N">Nicolai Meinshausen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/1202.0943" title="Abstract" id="1202.0943"> arXiv:1202.0943 </a> [<a href="/pdf/1202.0943" title="Download PDF" id="pdf-1202.0943" aria-labelledby="pdf-1202.0943">pdf</a>, <a href="/format/1202.0943" title="Other formats" id="oth-1202.0943" aria-labelledby="oth-1202.0943">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Lamboni,+M">Matieyendou Lamboni</a> (IMT), <a href="https://arxiv.org/search/math?searchtype=author&query=Iooss,+B">Bertrand Iooss</a> (- M茅thodes d'Analyse Stochastique des Codes et Traitements Num茅riques), <a href="https://arxiv.org/search/math?searchtype=author&query=Popelin,+A">Anne-Laure Popelin</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Gamboa,+F">Fabrice Gamboa</a> (IMT)</div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Mathematics and Computers in Simulation 87 (2013) 45-54 </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='item25'>[25]</a> <a href ="/abs/1202.0944" title="Abstract" id="1202.0944"> arXiv:1202.0944 </a> [<a href="/pdf/1202.0944" title="Download PDF" id="pdf-1202.0944" aria-labelledby="pdf-1202.0944">pdf</a>, <a href="/format/1202.0944" title="Other formats" id="oth-1202.0944" aria-labelledby="oth-1202.0944">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Conditional inference in parametric models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Broniatowski,+M">Michel Broniatowski</a> (LSTA), <a href="https://arxiv.org/search/stat?searchtype=author&query=Caron,+V">Virgile Caron</a> (LSTA)</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/1202.0949" title="Abstract" id="1202.0949"> arXiv:1202.0949 </a> [<a href="/pdf/1202.0949" title="Download PDF" id="pdf-1202.0949" aria-labelledby="pdf-1202.0949">pdf</a>, <a href="/format/1202.0949" title="Other formats" id="oth-1202.0949" aria-labelledby="oth-1202.0949">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bayesian filtering for multi-object systems with independently generated observations </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Clark,+D+E">Daniel Edward Clark</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='item27'>[27]</a> <a href ="/abs/1202.0957" title="Abstract" id="1202.0957"> arXiv:1202.0957 </a> [<a href="/pdf/1202.0957" title="Download PDF" id="pdf-1202.0957" aria-labelledby="pdf-1202.0957">pdf</a>, <a href="/format/1202.0957" title="Other formats" id="oth-1202.0957" aria-labelledby="oth-1202.0957">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimating a bivariate linear relationship </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Leonard,+D">David Leonard</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 27 pages, 7 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bayesian Analysis (2011) 6: 727-754 </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='item28'>[28]</a> <a href ="/abs/1202.0976" title="Abstract" id="1202.0976"> arXiv:1202.0976 </a> [<a href="/pdf/1202.0976" title="Download PDF" id="pdf-1202.0976" aria-labelledby="pdf-1202.0976">pdf</a>, <a href="/format/1202.0976" title="Other formats" id="oth-1202.0976" aria-labelledby="oth-1202.0976">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Posterior Consistency via Precision Operators for Bayesian Nonparametric Drift Estimation in SDEs </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pokern,+Y">Y. Pokern</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Stuart,+A+M">A. M. Stuart</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=van+Zanten,+J+H">J. H. van Zanten</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Stochastic Process. Appl. 123, no. 2, 603-628, 2013 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/1202.1058" title="Abstract" id="1202.1058"> arXiv:1202.1058 </a> [<a href="/pdf/1202.1058" title="Download PDF" id="pdf-1202.1058" aria-labelledby="pdf-1202.1058">pdf</a>, <a href="/format/1202.1058" title="Other formats" id="oth-1202.1058" aria-labelledby="oth-1202.1058">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Approximating the inverse of a balanced symmetric matrix with positive elements </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Yan,+T">Ting Yan</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Jinfeng,+X">Xu Jinfeng</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Major revisions, 8 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='item30'>[30]</a> <a href ="/abs/1202.1125" title="Abstract" id="1202.1125"> arXiv:1202.1125 </a> [<a href="/pdf/1202.1125" title="Download PDF" id="pdf-1202.1125" aria-labelledby="pdf-1202.1125">pdf</a>, <a href="/format/1202.1125" title="Other formats" id="oth-1202.1125" aria-labelledby="oth-1202.1125">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Information Divergence is more chi squared distributed than the chi squared statistics </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Harremo%C3%ABs,+P">Peter Harremo毛s</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Tusn%C3%A1dy,+G">G谩bor Tusn谩dy</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 pages, accepted for presentation at ISIT 2012 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Information Theory (cs.IT) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/1202.1242" title="Abstract" id="1202.1242"> arXiv:1202.1242 </a> [<a href="/pdf/1202.1242" title="Download PDF" id="pdf-1202.1242" aria-labelledby="pdf-1202.1242">pdf</a>, <a href="/format/1202.1242" title="Other formats" id="oth-1202.1242" aria-labelledby="oth-1202.1242">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Augmented sparse principal component analysis for high dimensional data </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Paul,+D">Debashis Paul</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Johnstone,+I+M">Iain M. Johnstone</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This manuscript was written in 2007, and a version has been available on the first author's website, but it is posted to arXiv now in its 2007 form. Revisions incorporating later work will be posted separately </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Methodology (stat.ME) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/1202.1377" title="Abstract" id="1202.1377"> arXiv:1202.1377 </a> [<a href="/pdf/1202.1377" title="Download PDF" id="pdf-1202.1377" aria-labelledby="pdf-1202.1377">pdf</a>, <a href="/format/1202.1377" title="Other formats" id="oth-1202.1377" aria-labelledby="oth-1202.1377">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Statistical significance in high-dimensional linear models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=B%C3%BChlmann,+P">Peter B眉hlmann</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.3150/12-BEJSP11" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Bernoulli (<a href="http://isi.cbs.nl/bernoulli/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the International Statistical Institute/Bernoulli Society (<a href="http://isi.cbs.nl/BS/bshome.htm" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Bernoulli 2013, Vol. 19, No. 4, 1212-1242 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/1202.1399" title="Abstract" id="1202.1399"> arXiv:1202.1399 </a> [<a href="/pdf/1202.1399" title="Download PDF" id="pdf-1202.1399" aria-labelledby="pdf-1202.1399">pdf</a>, <a href="/format/1202.1399" title="Other formats" id="oth-1202.1399" aria-labelledby="oth-1202.1399">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Needlet-Whittle Estimates on the Unit Sphere </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Durastanti,+C">Claudio Durastanti</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Lan,+X">Xiaohong Lan</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Marinucci,+D">Domenico Marinucci</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 48 pages, 2 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Electronic Journal of Statistics, 7, 597-646, (2013) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Statistics Theory (math.ST)</span>; Instrumentation and Methods for Astrophysics (astro-ph.IM); Probability (math.PR) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/1202.1425" title="Abstract" id="1202.1425"> arXiv:1202.1425 </a> [<a href="/pdf/1202.1425" title="Download PDF" id="pdf-1202.1425" aria-labelledby="pdf-1202.1425">pdf</a>, <a href="/format/1202.1425" title="Other formats" id="oth-1202.1425" aria-labelledby="oth-1202.1425">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Chaari,+L">Lotfi Chaari</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Vincent,+T">Thomas Vincent</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Forbes,+F">Florence Forbes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Dojat,+M">Michel Dojat</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ciuciu,+P">Philippe Ciuciu</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='item35'>[35]</a> <a href ="/abs/1202.1436" title="Abstract" id="1202.1436"> arXiv:1202.1436 </a> [<a href="/pdf/1202.1436" title="Download PDF" id="pdf-1202.1436" aria-labelledby="pdf-1202.1436">pdf</a>, <a href="/format/1202.1436" title="Other formats" id="oth-1202.1436" aria-labelledby="oth-1202.1436">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Linear regression for numeric symbolic variables: an ordinary least squares approach based on Wasserstein Distance </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Irpino,+A">Antonio Irpino</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Verde,+R">Rosanna Verde</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Other Statistics (stat.OT) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/1202.1561" title="Abstract" id="1202.1561"> arXiv:1202.1561 </a> [<a href="/pdf/1202.1561" title="Download PDF" id="pdf-1202.1561" aria-labelledby="pdf-1202.1561">pdf</a>, <a href="/format/1202.1561" title="Other formats" id="oth-1202.1561" aria-labelledby="oth-1202.1561">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Tree models for difference and change detection in a complex environment </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Wang,+Y">Yong Wang</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Ziedins,+I">Ilze Ziedins</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Holmes,+M">Mark Holmes</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Challands,+N">Neil Challands</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/12-AOAS548" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Annals of Applied Statistics (<a href="http://www.imstat.org/aoas/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Annals of Applied Statistics 2012, Vol. 6, No. 3, 1162-1184 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/1202.1617" title="Abstract" id="1202.1617"> arXiv:1202.1617 </a> [<a href="/pdf/1202.1617" title="Download PDF" id="pdf-1202.1617" aria-labelledby="pdf-1202.1617">pdf</a>, <a href="/format/1202.1617" title="Other formats" id="oth-1202.1617" aria-labelledby="oth-1202.1617">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Asymptotic behavior of CLS estimators for unstable INAR(2) models </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Barczy,+M">Matyas Barczy</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Ispany,+M">Marton Ispany</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Pap,+G">Gyula Pap</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 67 pages; the CLS estimator of the mean of the innovation has been added </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Scandinavian Journal of Statistics 41 (4), 2014, 866-892 </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='item38'>[38]</a> <a href ="/abs/1202.1661" title="Abstract" id="1202.1661"> arXiv:1202.1661 </a> [<a href="/pdf/1202.1661" title="Download PDF" id="pdf-1202.1661" aria-labelledby="pdf-1202.1661">pdf</a>, <a href="/format/1202.1661" title="Other formats" id="oth-1202.1661" aria-labelledby="oth-1202.1661">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Covariance Estimation: The GLM and Regularization Perspectives </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Pourahmadi,+M">Mohsen Pourahmadi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published in at <a href="http://dx.doi.org/10.1214/11-STS358" rel="external noopener nofollow" class="link-external link-http">this http URL</a> the Statistical Science (<a href="http://www.imstat.org/sts/" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) by the Institute of Mathematical Statistics (<a href="http://www.imstat.org" rel="external noopener nofollow" class="link-external link-http">this http URL</a>) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Statistical Science 2011, Vol. 26, No. 3, 369-387 </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/1202.1738" title="Abstract" id="1202.1738"> arXiv:1202.1738 </a> [<a href="/pdf/1202.1738" title="Download PDF" id="pdf-1202.1738" aria-labelledby="pdf-1202.1738">pdf</a>, <a href="/format/1202.1738" title="Other formats" id="oth-1202.1738" aria-labelledby="oth-1202.1738">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Taylor,+B+M">Benjamin M. Taylor</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Diggle,+P+J">Peter J. Diggle</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This replaces the previous version of the report. The new version includes results from an additional simulation study, and corrects an error in the implementation of the INLA-based methods </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation (stat.CO)</span> </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/1202.1787" title="Abstract" id="1202.1787"> arXiv:1202.1787 </a> [<a href="/pdf/1202.1787" title="Download PDF" id="pdf-1202.1787" aria-labelledby="pdf-1202.1787">pdf</a>, <a href="/format/1202.1787" title="Other formats" id="oth-1202.1787" aria-labelledby="oth-1202.1787">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Greedy Learning of Markov Network Structure </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Netrapalli,+P">Praneeth Netrapalli</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Banerjee,+S">Siddhartha Banerjee</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Sanghavi,+S">Sujay Sanghavi</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Shakkottai,+S">Sanjay Shakkottai</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Preliminary version appeared in 48th Annual Allerton Conference on Communication, Control, and Computing, 2010. Full version submitted to JMLR </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='item41'>[41]</a> <a href ="/abs/1202.1838" title="Abstract" id="1202.1838"> arXiv:1202.1838 </a> [<a href="/pdf/1202.1838" title="Download PDF" id="pdf-1202.1838" aria-labelledby="pdf-1202.1838">pdf</a>, <a href="/format/1202.1838" title="Other formats" id="oth-1202.1838" aria-labelledby="oth-1202.1838">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Numerical reconstruction of the covariance matrix of a spherically truncated multinormal distribution </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Palombi,+F">Filippo Palombi</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Toti,+S">Simona Toti</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Filippini,+R">Romina Filippini</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 36 pages, 10 figures. v2: sects. 2 and 7 have been added, sect. 3 has been revised. Results unchanged </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> J. Prob. Stat. Vol. 2017 (2017), Art. ID 6579537, 24 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='item42'>[42]</a> <a href ="/abs/1202.1964" title="Abstract" id="1202.1964"> arXiv:1202.1964 </a> [<a href="/pdf/1202.1964" title="Download PDF" id="pdf-1202.1964" aria-labelledby="pdf-1202.1964">pdf</a>, <a href="/format/1202.1964" title="Other formats" id="oth-1202.1964" aria-labelledby="oth-1202.1964">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> (Ab)Using Regression for Data Adjustment </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Duembgen,+L">Lutz Duembgen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Replaces an older manuscript "On Ranks of Regression Errors and Residuals" </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='item43'>[43]</a> <a href ="/abs/1202.1998" title="Abstract" id="1202.1998"> arXiv:1202.1998 </a> [<a href="/pdf/1202.1998" title="Download PDF" id="pdf-1202.1998" aria-labelledby="pdf-1202.1998">pdf</a>, <a href="/format/1202.1998" title="Other formats" id="oth-1202.1998" aria-labelledby="oth-1202.1998">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Hierarchical Kendall copulas: Properties and inference </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Brechmann,+E+C">Eike Christian Brechmann</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/1202.2002" title="Abstract" id="1202.2002"> arXiv:1202.2002 </a> [<a href="/pdf/1202.2002" title="Download PDF" id="pdf-1202.2002" aria-labelledby="pdf-1202.2002">pdf</a>, <a href="/format/1202.2002" title="Other formats" id="oth-1202.2002" aria-labelledby="oth-1202.2002">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Selecting and estimating regular vine copulae and application to financial returns </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Dissmann,+J">Jeffrey Dissmann</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Brechmann,+E+C">Eike Christian Brechmann</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Czado,+C">Claudia Czado</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Kurowicka,+D">Dorota Kurowicka</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Computational Statistics & Data Analysis, 59, 52-69, 2013 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span> </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/1202.2008" title="Abstract" id="1202.2008"> arXiv:1202.2008 </a> [<a href="/pdf/1202.2008" title="Download PDF" id="pdf-1202.2008" aria-labelledby="pdf-1202.2008">pdf</a>, <a href="/format/1202.2008" title="Other formats" id="oth-1202.2008" aria-labelledby="oth-1202.2008">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling high dimensional time-varying dependence using D-vine SCAR models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Almeida,+C">Carlos Almeida</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Czado,+C">Claudia Czado</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Manner,+H">Hans Manner</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='item46'>[46]</a> <a href ="/abs/1202.2009" title="Abstract" id="1202.2009"> arXiv:1202.2009 </a> [<a href="/pdf/1202.2009" title="Download PDF" id="pdf-1202.2009" aria-labelledby="pdf-1202.2009">pdf</a>, <a href="/format/1202.2009" title="Other formats" id="oth-1202.2009" aria-labelledby="oth-1202.2009">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Detecting regime switches in the dependence structure of high dimensional financial data </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Stoeber,+J">Jakob Stoeber</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Czado,+C">Claudia Czado</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Applications (stat.AP) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/1202.2035" title="Abstract" id="1202.2035"> arXiv:1202.2035 </a> [<a href="/pdf/1202.2035" title="Download PDF" id="pdf-1202.2035" aria-labelledby="pdf-1202.2035">pdf</a>, <a href="/format/1202.2035" title="Other formats" id="oth-1202.2035" aria-labelledby="oth-1202.2035">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimating level sets of a distribution function using a plug-in method: a multidimensional extension </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Di+Bernadino,+E">Elena Di Bernadino</a> (SAF), <a href="https://arxiv.org/search/math?searchtype=author&query=Lalo%C3%AB,+T">Thomas Lalo毛</a> (JAD)</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='item48'>[48]</a> <a href ="/abs/1202.2045" title="Abstract" id="1202.2045"> arXiv:1202.2045 </a> [<a href="/pdf/1202.2045" title="Download PDF" id="pdf-1202.2045" aria-labelledby="pdf-1202.2045">pdf</a>, <a href="/format/1202.2045" title="Other formats" id="oth-1202.2045" aria-labelledby="oth-1202.2045">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Exact Multivariate Tests - A New Effective Principle of Controlled Model Choice </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Laeuter,+J">Juergen Laeuter</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Rosolowski,+M">Maciej Rosolowski</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Glimm,+E">Ekkehard Glimm</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Statistics Theory (math.ST) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/1202.2143" title="Abstract" id="1202.2143"> arXiv:1202.2143 </a> [<a href="/pdf/1202.2143" title="Download PDF" id="pdf-1202.2143" aria-labelledby="pdf-1202.2143">pdf</a>, <a href="/format/1202.2143" title="Other formats" id="oth-1202.2143" aria-labelledby="oth-1202.2143">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Active Bayesian Optimization: Minimizing Minimizer Entropy </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Park,+I+M">Il Memming Park</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Nassar,+M">Marcel Nassar</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Park,+M">Mijung Park</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Methodology (stat.ME)</span>; Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/1202.2169" title="Abstract" id="1202.2169"> arXiv:1202.2169 </a> [<a href="/pdf/1202.2169" title="Download PDF" id="pdf-1202.2169" aria-labelledby="pdf-1202.2169">pdf</a>, <a href="/format/1202.2169" title="Other formats" id="oth-1202.2169" aria-labelledby="oth-1202.2169">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> High Dimensional Semiparametric Gaussian Copula Graphical Models </div> <div class='list-authors'><a href="https://arxiv.org/search/stat?searchtype=author&query=Liu,+H">Han Liu</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Han,+F">Fang Han</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Yuan,+M">Ming Yuan</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Lafferty,+J">John Lafferty</a>, <a href="https://arxiv.org/search/stat?searchtype=author&query=Wasserman,+L">Larry Wasserman</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages, 10 figures; the Annals of Statistics, 2012 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (stat.ML)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 248 entries : <span>1-50</span> <a href=/list/stat/2012-02?skip=50&show=50>51-100</a> <a href=/list/stat/2012-02?skip=100&show=50>101-150</a> <a href=/list/stat/2012-02?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/stat/2012-02?skip=200&show=50>201-248</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/stat/2012-02?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/stat/2012-02?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/stat/2012-02?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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Statistics Feb 2012