We develop a Bayesian method for nonparametric model—based quantile regression. The approach involves flexible Dirichlet process mixture models for the joint distribution of the response and the ...

We present a method for incorporating missing data into general prediction problems which use nonparametric statistical learning. We focus on a tree-based method, Bayesian Additive Regression Trees ...

Some of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses. The goal of ...