A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects

DOI10.1016/j.csda.2012.04.016zbMath1255.62073OpenAlexW1965825852WikidataQ57535723 ScholiaQ57535723MaRDI QIDQ1927199

Sy-Miin Chow, Xin-Yuan Song, Nian Sheng Tang

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.04.016

zbMATH Keywords

longitudinal datastructural equation modelsBayesian approachadjacent time effectsrandom regression coefficients

Mathematics Subject Classification ID

Related Items (1)

Multilevel heterogeneous factor analysis and application to ecological momentary assessment

Uses Software

• LISREL
• EQS

Cites Work

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• Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data
• Structural Equation Models
• Structural Equation Modeling
• Linear mixed models for longitudinal data
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling

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