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Directional testing for high-dimensional multivariate normal distributions
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Directional testing for high-dimensional multivariate normal distributions

Caizhu Huang
Claudia Di Caterina
Nicola Sartori
ArXiv (abs)PDFHTML

Papers citing "Directional testing for high-dimensional multivariate normal distributions"

6 / 6 papers shown
Title
Asymptotic Distributions for Likelihood Ratio Tests for the Equality of Covariance Matrices
Asymptotic Distributions for Likelihood Ratio Tests for the Equality of Covariance Matrices
Wen-jie Guo
Y. Qi
49
4
0
05 Oct 2021
Laplace and Saddlepoint Approximations in High Dimensions
Laplace and Saddlepoint Approximations in High Dimensions
Yanbo Tang
Nancy Reid
46
7
0
22 Jul 2021
On the Phase Transition of Wilk's Phenomenon
On the Phase Transition of Wilk's Phenomenon
Yinqiu He
Bo Meng
Zhenghao Zeng
Gongjun Xu
46
5
0
13 Aug 2020
Likelihood ratio tests for many groups in high dimensions
Likelihood ratio tests for many groups in high dimensions
Holger Dette
Nina Dórnemann
67
25
0
24 May 2019
A modern maximum-likelihood theory for high-dimensional logistic regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
55
288
0
19 Mar 2018
Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions
Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions
Tiefeng Jiang
Fan Yang
123
134
0
02 Jun 2013

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