Two-sample tests of high-dimensional means for compositional data-Reference-Cited by-同舟云学术

Two-sample tests of high-dimensional means for compositional data

Published:2017-11-03 Issue:1 Volume:105 Page:115-132
ISSN:0006-3444
Container-title:Biometrika
language:en
Short-container-title:

Author:

Cao Yuanpei¹,Lin Wei²,Li Hongzhe³

Affiliation:

1. Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, U.S.A. yuanpeic@sas.upenn.edu

2. Center for Statistical Science, School of Mathematical Sciences, Peking University, 5 Yiheyuan Road, Beijing 100871, China weilin@math.pku.edu.cn

3. Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, U.S.A. hongzhe@upenn.edu

Funder

National Institutes of Health

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Link

http://academic.oup.com/biomet/article-pdf/105/1/115/24331600/asx060.pdf

Reference17 articles.

1. The statistical analysis of compositional data (with Discussion).;Aitchison;J. R. Statist. Soc. B,1982

2. Effect of high dimension: By an example of a two sample problem.;Bai;Statist. Sinica,1996

3. Covariance regularization by thresholding.;Bickel;Ann. Statist.,2008

4. Two-sample test of high dimensional means under dependence.;Cai;J. R. Statist. Soc. B,2014

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