Bayesian Computation via the Gibbs Sampler for Mixture Models with Gaussian Distal Outcomes

Authors :: Gilmara S. Bispo
Leila Denise Alves Ferreira Amorim
Lilia Costa
Source :: Structural Equation Modeling: A Multidisciplinary Journal. 28:839-850
Publication Year :: 2021
Publisher :: Informa UK Limited, 2021.
Abstract: Models with distal outcomes have been commonly used to evaluate the effect of categorical latent variables on an observed dependent variable, which can be binary, counting, or continuous. Several a...

Subjects :: Sociology and Political Science
fungi
Bayesian probability
food and beverages
General Decision Sciences
macromolecular substances
Latent variable
Bayesian inference
Mixture model
Latent class model
symbols.namesake
Modeling and Simulation
symbols
Applied mathematics
Latent variable model
General Economics, Econometrics and Finance
Categorical variable
Mathematics
Gibbs sampling

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