Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression.

Ye, Ai; Gates, Kathleen M; Henry, Teague Rhine; Luo, Lan

Ye, Ai; Gates, Kathleen M; Henry, Teague Rhine; Luo, Lan.

Afiliação

Ye A; L. L. Thurstone Psychometric Lab, Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Campus Box 3270, Chapel Hill, NC, 27599, USA. awella@live.unc.edu.
Gates KM; L. L. Thurstone Psychometric Lab, Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Campus Box 3270, Chapel Hill, NC, 27599, USA.
Henry TR; L. L. Thurstone Psychometric Lab, Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Campus Box 3270, Chapel Hill, NC, 27599, USA.
Luo L; L. L. Thurstone Psychometric Lab, Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Campus Box 3270, Chapel Hill, NC, 27599, USA.

Psychometrika ; 86(2): 404-441, 2021 06.

Article em En | MEDLINE | ID: mdl-33840003

Assuntos

Modelos Estatísticos; Simulação por Computador; Humanos; Análise de Classes Latentes; Psicometria

Palavras-chave

contemporaneous relations; graphical VAR; hybrid VAR; regularized SEM; structural VAR; time series data; unified SEM

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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