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Independence test for high dimensional data based on regularized
  canonical correlation coefficients

Independence test for high dimensional data based on regularized canonical correlation coefficients

18 March 2015
Yanrong Yang
G. Pan
ArXivPDFHTML

Papers citing "Independence test for high dimensional data based on regularized canonical correlation coefficients"

5 / 5 papers shown
Title
Consistent Estimation of a Class of Distances Between Covariance
  Matrices
Consistent Estimation of a Class of Distances Between Covariance Matrices
Roberto Pereira
Xavier Mestre
Davig Gregoratti
29
1
0
18 Sep 2024
Central Limit Theorem for Linear Spectral Statistics of Large
  Dimensional Kendall's Rank Correlation Matrices and its Applications
Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall's Rank Correlation Matrices and its Applications
Zeng Li
Qinwen Wang
Runze Li
26
13
0
13 Dec 2019
High-dimensional covariance matrices in elliptical distributions with
  application to spherical test
High-dimensional covariance matrices in elliptical distributions with application to spherical test
Jiang Hu
Weiming Li
Zhi Liu
Wang Zhou
22
36
0
21 Mar 2018
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
32
262
0
25 Oct 2016
High-dimensional inference on covariance structures via the extended
  cross-data-matrix methodology
High-dimensional inference on covariance structures via the extended cross-data-matrix methodology
K. Yata
M. Aoshima
26
15
0
22 Mar 2015
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