Jungeum Kim

Deep Generative Quantile Bayes

We develop a multivariate posterior sampling procedure through deep generative quantile learning. Simulation proceeds implicitly through a push-forward mapping that can transform i.i.d. random vectors samples from the posterior. We utilize Monge-Kantorovich depth in multivariate quantiles to directl…