Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection

We propose a flexible Bayesian approach for estimating the joint density of a multivariate random variable of interest in the presence of categorical covariates. Leveraging a Gaussian copula framework, our method captures the dependence structure across different coordinates of the multivariate resp