Berrett, Candace; Calder, Catherine A. - In: Computational Statistics & Data Analysis 56 (2012) 3, pp. 478-490
The well known latent variable representation of the Bayesian probit regression model due to Albert and Chib (1993) allows model fitting to be performed using a simple Gibbs sampler. In addition, various types of dependence among categorical outcomes not explained by covariate information can be...