Nonparametric Two-Sample Tests of High Dimensional Mean Vectors via Random Integration-Reference-Cited by-同舟云学术

Nonparametric Two-Sample Tests of High Dimensional Mean Vectors via Random Integration

Published:2022-12-12 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:

Jiang Yunlu¹,Wang Xueqin²^ORCID,Wen Canhong²,Jiang Yukang³,Zhang Heping⁴

Affiliation:

1. Department of Statistics, College of Economics, Jinan University, Guangzhou, GD, China

2. International Institute of Finance/Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, AH, China

3. Department of Statistical Science, School of Mathematics, Sun Yat-Sen University, Guangzhou, GD, China

4. Department of Biostatistics Yale University School of Public Health, New Haven, CT

Funder

NSFC

Natural Science Foundation of Guangdong

National Science Foundation of China

National Key R&D Program of China

U.S. National Institutes of Health

NSF

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2141636

Reference37 articles.

1. Statistical methods for detecting differentially methylated regions based on MethylCap-seq data

2. High-dimensional multivariate realized volatility estimation

3. Two-sample test of high dimensional means under dependence

4. Simulation‐based hypothesis testing of high dimensional means under covariance heterogeneity

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