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Testing independence with high-dimensional correlated samples

Testing independence with high-dimensional correlated samples

26 March 2017
Xi Chen
Weidong Liu
ArXiv (abs)PDFHTML

Papers citing "Testing independence with high-dimensional correlated samples"

9 / 9 papers shown
Title
Distribution-Free Tests of Independence in High Dimensions
Distribution-Free Tests of Independence in High Dimensions
Fang Han
Shizhe Chen
Han Liu
72
16
0
15 Oct 2014
Estimation of functionals of sparse covariance matrices
Estimation of functionals of sparse covariance matrices
Jianqing Fan
Philippe Rigollet
Weichen Wang
74
20
0
21 Aug 2014
Central Limit Theorems for Classical Likelihood Ratio Tests for
  High-Dimensional Normal Distributions
Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions
Tiefeng Jiang
Fan Yang
133
134
0
02 Jun 2013
Gemini: Graph estimation with matrix variate normal instances
Gemini: Graph estimation with matrix variate normal instances
Shuheng Zhou
131
106
0
23 Sep 2012
Limiting Laws of Coherence of Random Matrices with Applications to
  Testing Covariance Structure and Construction of Compressed Sensing Matrices
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices
Tony Cai
Tiefeng Jiang
104
198
0
14 Feb 2011
Inference with Transposable Data: Modeling the Effects of Row and Column
  Correlations
Inference with Transposable Data: Modeling the Effects of Row and Column Correlations
Genevera I. Allen
Robert Tibshirani
119
46
0
01 Apr 2010
A two-sample test for high-dimensional data with applications to
  gene-set testing
A two-sample test for high-dimensional data with applications to gene-set testing
Songxi Chen
Yingli Qin
125
576
0
24 Feb 2010
Corrections to LRT on Large Dimensional Covariance Matrix by RMT
Corrections to LRT on Large Dimensional Covariance Matrix by RMT
Z. Bai
Dandan Jiang
J. Yao
Shu-rong Zheng
86
248
0
03 Feb 2009
Sparsistency and rates of convergence in large covariance matrix
  estimation
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
264
611
0
26 Nov 2007
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