Contributions to Bayesian Structural Equation Modeling

DOI10.1007/978-3-7908-2604-3_46zbMath1436.62183OpenAlexW2238824086MaRDI QIDQ3298501

Séverine Demeyer, Nicolas Fischer, Gilbert Saporta

Publication date: 14 July 2020

Published in: Proceedings of COMPSTAT'2010 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-7908-2604-3_46

zbMATH Keywords

Bayesian statisticslatent variablesGibbs samplingidentifiabilitystructural equation modeling

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Uses Software

• BayesDA

Cites Work

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• Handbook of latent variable and related models.
• The Calculation of Posterior Distributions by Data Augmentation
• Structural Equation Modeling