Distribution and correlation free two-sample test of high-dimensional means

16 April 2019

Papers citing "Distribution and correlation free two-sample test of high-dimensional means"

10 / 10 papers shown

Title
Two-sample testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 60 9 0 14 Oct 2016
Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications Xiaohui Chen 80 57 0 30 Sep 2016
Central Limit Theorems and Bootstrap in High Dimensions Victor Chernozhukov Denis Chetverikov Kengo Kato 76 313 0 11 Dec 2014
Mean vector testing for high dimensional dependent observations D. Ayyala Junyong Park A. Roy 27 17 0 12 Nov 2014
On testing the equality of high dimensional mean vectors with unequal covariance matrices Jiang Hu Z. Bai Chen Wang Wei Wang 57 59 0 25 Jun 2014
Simulation-Based Hypothesis Testing of High Dimensional Means Under Covariance Heterogeneity Jinyuan Chang Chaowen Zheng Wen-Xin Zhou Wen Zhou 91 67 0 08 Jun 2014
Tests alternative to higher criticism for high-dimensional means under sparsity and column-wise dependence Pingshou Zhong Songxi Chen Minya Xu 53 62 0 18 Dec 2013
Comparison and anti-concentration bounds for maxima of Gaussian random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 146 224 0 21 Jan 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 164 507 0 31 Dec 2012
A two-sample test for high-dimensional data with applications to gene-set testing Songxi Chen Yingli Qin 97 576 0 24 Feb 2010