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

Time-varying networks are fast emerging in a wide range of scientific and business applications. Most existing dynamic network models are limited to a single-subject and discrete-time setting. In this article, we propose a mixed-effect network model that characterizes the continuous time-varying beh...

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Veröffentlicht in:	Journal of the American Statistical Association 2020-12, Vol.115 (532), p.2022-2036
Hauptverfasser:	Zhang, Jingfei, Sun, Will Wei, Li, Lexin
Format:	Artikel
Sprache:	eng
Schlagworte:	Application Asymptotic methods Asymptotic properties Brain Brain connectivity analysis Connectivity analysis Fused lasso Generalized linear mixed-effect model Optimization Regression analysis Statistical methods Statistics Stochastic blockmodel Time setting Time-varying network
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