Statistics Theory and Methods

[1] Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates

Jingyuan Liu Xiamen University

Statistics Theory and Methods mathscidoc:1903.33002

Journal of the American Statistical Association, 109, (505), 266-274, 2014.3
[ Download ] [ 2019-03-21 09:38:42 uploaded by jingyuan1230 ] [ 3 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[2] Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis

Hengjian Cui Capital Normal University Runze Li Pennsylvania State University Wei Zhong Xiamen University

Statistics Theory and Methods mathscidoc:1903.33001

Journal of the American Statistical Association, 110, (510), 630-641, 2015.6
[ Download ] [ 2019-03-19 22:55:01 uploaded by wzhong41 ] [ 2 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[3] Necessary and sufficient conditions for consistent root reconstruction in Markov models on trees

Wai Tong Fan UW-Madison

Information Theory Probability Statistics Theory and Methods mathscidoc:1806.19001

Electronic Journal of Probability, 23, (47), 24, 2018
[ Download ] [ 2018-06-19 02:42:52 uploaded by louisfan ] [ 129 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[4] Large Covariance Estimation by Thresholding Principal Orthogonal Complements

Jianqing Fan Princeton University Yuan Liao Princeton University Martina Mincheva University of Maryland

Statistics Theory and Methods mathscidoc:1806.33003

Journal of the Royal Statistical Society, 2013
[ Download ] [ 2018-06-11 17:15:57 uploaded by YLiao ] [ 132 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[5] Confidence intervals for low dimensional parameters in high dimensional linear models

Cun-Hui Zhang Rutgers University Stephanie S. Zhang Columbia University

Statistics Theory and Methods mathscidoc:1806.33002

Journal of the Royal Statistical Society, 76, 217-242, 2014
[ Download ] [ 2018-06-11 09:41:36 uploaded by CHZhang ] [ 309 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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