Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Testing independence in high dimensions with sums of rank correlations - MaRDI portal

Testing independence in high dimensions with sums of rank correlations

From MaRDI portal
Publication:1747739

DOI10.1214/17-AOS1550zbMath1415.62038arXiv1501.01732OpenAlexW2963530010WikidataQ57566346 ScholiaQ57566346MaRDI QIDQ1747739

Xianqiang Yang

Publication date: 27 April 2018

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1501.01732




Related Items (24)

High-dimensional proportionality test of two covariance matrices and its application to gene expression dataDistribution-Free Consistent Independence Tests via Center-Outward Ranks and SignsCentral limit theorem for linear spectral statistics of large dimensional Kendall's rank correlation matrices and its applicationsRank-based tests of cross-sectional dependence in panel data modelsLimiting spectral distribution of large dimensional Spearman's rank correlation matricesMarginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional DataAsymptotically independent U-statistics in high-dimensional testingTesting for independence of high-dimensional variables: \(\rho V\)-coefficient based approachTesting conditional multivariate rank correlations: the effect of institutional quality on factors influencing competitivenessOn eigenvalues of a high-dimensional Kendall's rank correlation matrix with dependenceA robust permutation test for Kendall's tauMultivariate tests of independence and their application in correlation analysis between financial marketsMax-sum test based on Spearman's footrule for high-dimensional independence testsHypothesis Tests for Structured Rank Correlation MatricesRank-based indices for testing independence between two high-dimensional vectorsTesting for independence in high dimensions based on empirical copulasRank-based max-sum tests for mutual independence of high-dimensional random vectorsAsymptotic power of Rao's score test for independence in high dimensionsMaximum pairwise Bayes factors for covariance structure testingTesting independence in high dimensions with sums of rank correlationsHigh-dimensional consistent independence testing with maxima of rank correlationsDistance-based and RKHS-based dependence metrics in high dimensionRandomized incomplete \(U\)-statistics in high dimensionsGeneralizing Distance Covariance to Measure and Test Multivariate Mutual Dependence


Uses Software


Cites Work


This page was built for publication: Testing independence in high dimensions with sums of rank correlations