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On testing the equality of high dimensional mean vectors with unequal
  covariance matrices
v1v2 (latest)

On testing the equality of high dimensional mean vectors with unequal covariance matrices

25 June 2014
Jiang Hu
Z. Bai
Chen Wang
Wei Wang
ArXiv (abs)PDFHTML

Papers citing "On testing the equality of high dimensional mean vectors with unequal covariance matrices"

10 / 10 papers shown
Quadratic Form based Multiple Contrast Tests for Comparison of Group
  Means
Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
Paavo Sattler
Markus Pauly
Merle Munko
158
2
0
15 Nov 2024
HDNRA: An R package for HDLSS location testing with normal-reference
  approaches
HDNRA: An R package for HDLSS location testing with normal-reference approaches
Pengfei Wang
Tianming Zhu
Jin-Ting Zhang
234
0
0
22 Oct 2024
Linear hypothesis testing in high-dimensional heteroscedastics via
  random integration
Linear hypothesis testing in high-dimensional heteroscedastics via random integration
Mingxiang Cao
Hongwei Zhang
Kai Xu
Daojiang He
84
0
0
18 Sep 2024
Test for high-dimensional mean vectors via the weighted $L_2$-norm
Test for high-dimensional mean vectors via the weighted L2L_2L2​-norm
Jianghao Li
Zhenzhen Niu
Shizhe Hong
Zhidong Bai
156
1
0
30 Jan 2024
Likelihood ratio tests under model misspecification in high dimensions
Likelihood ratio tests under model misspecification in high dimensionsJournal of Multivariate Analysis (J. Multivar. Anal.), 2022
Nina Dórnemann
252
12
0
10 Mar 2022
High-dimensional MANOVA via Bootstrapping and its Application to
  Functional and Sparse Count Data
High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data
Zhenhua Lin
Miles E. Lopes
Hans-Georg Müller
515
15
0
02 Jul 2020
Distribution and correlation free two-sample test of high-dimensional
  means
Distribution and correlation free two-sample test of high-dimensional means
Kaijie Xue
Fang Yao
228
36
0
16 Apr 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to
  High Dimension
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Yinqiu He
Tiefeng Jiang
Jiyang Wen
Gongjun Xu
362
13
0
17 Dec 2018
A test for k sample Behrens-Fisher problem in high dimensional data
A test for k sample Behrens-Fisher problem in high dimensional data
M. Cao
Junyong Park
Daojiang He
77
10
0
22 Oct 2017
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
Jiang Hu
Z. Bai
388
39
0
03 Mar 2016
1
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