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A Cramér moderate deviation theorem for Hotelling's $T^2$-statistic
  with applications to global tests

A Cramér moderate deviation theorem for Hotelling's T2T^2T2-statistic with applications to global tests

8 April 2013
Weidong Liu
Q. Shao
ArXiv (abs)PDFHTML

Papers citing "A Cramér moderate deviation theorem for Hotelling's $T^2$-statistic with applications to global tests"

6 / 6 papers shown
Title
Refined Cramér Type Moderate Deviation Theorems for General
  Self-normalized Sums with Applications to Dependent Random Variables and
  Winsorized Mean
Refined Cramér Type Moderate Deviation Theorems for General Self-normalized Sums with Applications to Dependent Random Variables and Winsorized Mean
Lan Gao
Q. Shao
Jiasheng Shi
21
5
0
28 Jul 2021
Higher Criticism for Large-Scale Inference, Especially for Rare and Weak
  Effects
Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects
D. Donoho
Jiashun Jin
122
131
0
17 Oct 2014
Rare and Weak effects in Large-Scale Inference: methods and phase
  diagrams
Rare and Weak effects in Large-Scale Inference: methods and phase diagrams
Jiashun Jin
Tracy Ke
98
49
0
16 Oct 2014
Self-normalized Cramér Type Moderate Deviations under Dependence
Self-normalized Cramér Type Moderate Deviations under Dependence
Xiaohong Chen
Q. Shao
Wei Biao Wu
59
32
0
12 Sep 2014
Simulation-Based Hypothesis Testing of High Dimensional Means Under
  Covariance Heterogeneity
Simulation-Based Hypothesis Testing of High Dimensional Means Under Covariance Heterogeneity
Jinyuan Chang
Chaowen Zheng
Wen-Xin Zhou
Wen Zhou
132
67
0
08 Jun 2014
$L^2$ Asymptotics for High-Dimensional Data
L2L^2L2 Asymptotics for High-Dimensional Data
Mengyu Xu
Danna Zhang
Wei Biao Wu
104
8
0
28 May 2014
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