Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis-Reference-Cited by-同舟云学术

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Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis

Published:2019-11-05 Issue:532 Volume:115 Page:2022-2036
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Zhang Jingfei¹,Sun Will Wei²,Li Lexin³

Affiliation:

1. Department of Management Science, Miami Business School, University of Miami, Miami, FL

2. Krannert School of Management, Purdue University, West Lafayette, IN

3. Department of Biostatistics and Epidemiology, School of Public Health, University of California at Berkeley, Berkeley, CA

Funder

NSF

NIH

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1677242

Reference51 articles.

1. Nonlinear Regression Analysis and Its Applications

2. Changes in structural and functional connectivity among resting-state networks across the human lifespan

3. A nonparametric view of network models and Newman–Girvan and other modularities

4. Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels

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