[R] Bayesian additive regression trees and the General BART model

tl;dr: There are a variety of BART models for different kinds of data, this article reviews a bunch of them.

abstract: "Bayesian additive regression trees (BART) is a flexible prediction model/machine learning approach that has gained widespread popularity in recent years. As BART becomes more mainstream, there is an increased need for a paper that walks readers through the details of BART, from what it is to why it works. This tutorial is aimed at providing such a resource. In …

bayesian machinelearning regression