Statistical Inferences for Complex Dependence of Multimodal Imaging Data-Reference-Cited by-同舟云学术

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Statistical Inferences for Complex Dependence of Multimodal Imaging Data

Published:2023-05-26 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:

Chang Jinyuan¹²^ORCID,He Jing¹,Kang Jian³^ORCID,Wu Mingcong¹

Affiliation:

1. Joint Laboratory of Data Science and Business Intelligence, Southwestern University of Finance and Economics, Chengdu, China

2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

3. Department of Biostatistics, University of Michigan, Ann Arbor, MI

Funder

National Institute of General Medical Sciences

National Institute of Mental Health

National Institute on Drug Abuse

National Science Foundation

National Natural Science Foundation of China

Center of Statistical Research at Southwestern University of Finance and Economics

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2200610

Reference62 articles.

1. Corrections to LRT on large-dimensional covariance matrix by RMT

2. Function in the human connectome: Task-fMRI and individual differences in behavior

3. A consistent test of independence based on a sign covariance related to Kendall’s tau

4. Optimal rates for independence testing via U-statistic permutation tests

5. Mapping anterior temporal lobe language areas with fMRI: A multicenter normative study

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