Bayesian model selection for structural equation models for myopia data

DOI10.1080/03610918.2022.2048025OpenAlexW4220868192MaRDI QIDQ6141744

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Publication date: 23 January 2024

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2022.2048025

zbMATH Keywords

longitudinal datamodel selectionlatent variablesMCMCstructural equation modelmixture prior

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Statistical decision theory and Bayesian analysis. 2nd ed
• Monte Carlo methods in Bayesian computation
• Bayesian factor analysis for multilevel binary observations
• Model comparison of nonlinear structural equation models with fixed covariates
• Random Effects Selection in Linear Mixed Models
• Maximum Likelihood Analysis of a General Latent Variable Model with Hierarchically Mixed Data
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• A Predictive Approach to Model Selection
• Fixed and Random Effects Selection in Linear and Logistic Models
• Structural Equation Modeling
• Deviance information criteria for missing data models

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