Bayesian bridge regression for ordinal models with a practical application

Abstract

In this paper, we introduce a Bayesian Bridge regression for ordinal data. The simulation study and real data analyses show that our proposed method performs very well compared with other methods. We consider a fully Bayesian approach that yields a new algorithm with tractable full conditional posteriors.