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A review of 20 years of naive tests of significance for high-dimensional
  mean vectors and covariance matrices

A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices

3 March 2016
Jiang Hu
Z. Bai
ArXivPDFHTML

Papers citing "A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices"

5 / 5 papers shown
Title
On testing mean of high dimensional compositional data
On testing mean of high dimensional compositional data
Qianqian Jiang
Wenbo Li
Zeng Li
23
1
0
12 Apr 2024
An approximate randomization test for high-dimensional two-sample
  Behrens-Fisher problem under arbitrary covariances
An approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances
Rui Wang
Wang-li Xu
31
9
0
04 Aug 2021
Classification accuracy as a proxy for two sample testing
Classification accuracy as a proxy for two sample testing
Ilmun Kim
Aaditya Ramdas
Aarti Singh
Larry A. Wasserman
17
75
0
06 Feb 2016
Test for bandedness of high-dimensional covariance matrices and
  bandwidth estimation
Test for bandedness of high-dimensional covariance matrices and bandwidth estimation
Yumou Qiu
Songxi Chen
62
65
0
16 Aug 2012
Optimal hypothesis testing for high dimensional covariance matrices
Optimal hypothesis testing for high dimensional covariance matrices
Tommaso Cai
Zongming Ma
59
111
0
18 May 2012
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