Bayesian Estimation and Model Selection of Multivariate Linear Model with Polytomous Variables.

Abstract

This article provides a Bayesian analysis of the multivariate linear model with polytomous variables. The computational burden due to the intractable multiple integrals induced by the polytomous variables and the model is solved by augmenting the underlying latent continuous measurements of the observed polytomous data. A Gibbs sampler algorithm is… (More)
DOI: 10.1207/S15327906MBR3704_02

Topics

6 Figures and Tables