Nonparametric High-Dimensional Multi-Sample Tests based on Graph Theory-Reference-Cited by-同舟云学术

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Nonparametric High-Dimensional Multi-Sample Tests based on Graph Theory

Published:2024-06-17 Issue: Volume: Page:1-8
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Shi Xiaoping¹^ORCID

Affiliation:

1. Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Kelowna, BC, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Interior Universities Research Coalition

BC Ministry of Health

NSERC Alliance International Catalyst Grant

University of British Columbia Okanagan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2358156

Reference19 articles.

1. “Effect of High Dimension: By An Example of a Two Sample Problem,”;Bai Z.;Statistica Sinica,1996

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

3. A distribution-free two-sample run test applicable to high-dimensional data

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

5. A Weighted Edge-Count Two-Sample Test for Multivariate and Object Data

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