Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing-Reference-Cited by-同舟云学术

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Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing

Published:2022-05-18 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Yu Xiufan¹,Li Danning²,Xue Lingzhou³^ORCID,Li Runze³^ORCID

Affiliation:

1. Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN

2. School of Mathematics and Statistics and KLAS, Northeast Normal University, Changchun, China

3. Department of Statistics, The Pennsylvania State University, University Park, PA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2061354

Reference47 articles.

1. Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism

2. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

3. Regularized estimation of large covariance matrices

4. Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings

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