Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data

Volume: 46, Issue: 6, Pages: 4578 - 4599
Published: Feb 3, 2017
Abstract
In this article, dichotomous variables are used to compare between linear and nonlinear Bayesian structural equation models. Gibbs sampling method is applied for estimation and model comparison. Statistical inferences that involve estimation of parameters and their standard deviations and residuals analysis for testing the selected model are discussed. Hidden continuous normal distribution (censored normal distribution) is used to solve the...
Paper Details
Title
Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
Published Date
Feb 3, 2017
Volume
46
Issue
6
Pages
4578 - 4599
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