Bayesian Analysis of Structural Equation Models With Nonlinear Covariates and Latent Variables
Abstract
In this article, we formulate a nonlinear structural equation model (SEM) that can accommodate covariates in the measurement equation and nonlinear terms of covariates and exogenous latent variables in the structural equation. The covariates can come from continuous or discrete distributions. A Bayesian approach is developed to analyze the proposed model. Markov chain Monte Carlo methods for obtaining Bayesian estimates and their standard error...
Paper Details
Title
Bayesian Analysis of Structural Equation Models With Nonlinear Covariates and Latent Variables
Published Date
Sep 1, 2006
Volume
41
Issue
3
Pages
337 - 365
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