analysis of Tobit quantile regression. The proposed methods are illustrated by both simulated and real data. …

A stochastic search variable selection approach is proposed for Bayesian model selection in binary and tobit quantile … regression. A simple and efficient Gibbs sampling algorithm was developed for posterior inference using a location-scale mixture …