Statistics Theory and Methods

[1] Statistical guarantees for the EM algorithm: From population to sample-based analysis

Bivaraman Sivaraman Carnegie Mellon University Martin J. Wainwright Carnegie Mellon University Bin Yu Carnegie Mellon University

Statistics Theory and Methods mathscidoc:1707.33002

The Annals of Statistics, 45, (1), 77-120, 2017
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[2] Estimating False Discovery Proportion under Arbitrary Covariance Dependence

Jianqing Fan Princeton University Xu Han Temple University Weijie Gu Princeton University

Statistics Theory and Methods mathscidoc:1707.33001

Journal of the American Statistical Association, 107, (499), 1019-1035, 2012.9
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[3] General forms of finite population central limit theorems with applications to causal inference

Xinran Li Harvard University Peng Ding University of California

Optimization and Control Statistics Theory and Methods mathscidoc:1706.27001

Journal of the American Statistical Association, 2017
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[4] Sparse PCA: Optimal rates and adaptive estimation

T. Tony Cai University of Pennsylvania Zongming Ma University of Pennsylvania Yihong Wu University of Illinois at Urbana-Champaign

Statistics Theory and Methods mathscidoc:1706.33001

The Annals of Statistics, 41, (6), 2013
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[5] Minimization and parameter estimation for seminorm regularization models with I -divergence constraints

T Teuber University of Kaiserslautern G Steidl University of Kaiserslautern Raymond Chan The Chinese University of Hong Kong

Optimization and Control Statistics Theory and Methods mathscidoc:1705.27003

Inverse Problems, 29, (3), 2013
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[6] A Path-Integral Approach to Bayesian Inference for Inverse Problems Using the Semiclassical Approximation

Josh C. Chang NIH Van M. Savage UCLA Tom Chou UCLA

Information Theory Mathematical Physics Statistics Theory and Methods Theoretical Physics mathscidoc:1702.19001

Journal of Statistical Physics, 157, 582-602, 2014.11
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[7] Calibrating nonconvex penalized regression in ultra-high dimension

Lan WANG University of Minnesota Yongdai Kim Seoul National University Runze Li Pennsylvania State University

Statistics Theory and Methods mathscidoc:1702.33008

2505, 2013.10
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[8] Nonparametric Mixture of Regression Models

Mian Huang Shanghai University of Finance and Economics Runze Li Pennsylvania State University Shaoli Wang Shanghai University of Finance and Economics

Statistics Theory and Methods mathscidoc:1702.33007

929, 2013.9
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[9] New local estimation procedure for a non-parametric regression function for longitudinal data

Weixin Yao Kansas State University Runze Li Pennsylvania State University

Statistics Theory and Methods mathscidoc:1702.33006

123, 2013.2
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[10] Multivariate varying coefficient model for functional responses

Hongtu ZHU UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Runze Li PENNSYLVANIA STATE UNIVERSITY Linglong Kong UNIVERSITY OF ALBERTA

Statistics Theory and Methods mathscidoc:1702.33005

2634, 2012.10
[ Download ] [ 2017-02-05 11:31:56 uploaded by runzelipsu ] [ 176 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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