The causal inference literature has increasingly recognized that explici...
Bayesian additive regression tree (BART) models have seen increased atte...
Bayesian additive regression trees have seen increased interest in recen...
The goal of causal mediation analysis, often described within the potent...
In problems with large amounts of missing data one must model two distin...
Spurred on by recent successes in causal inference competitions, Bayesia...
Popular parametric and semiparametric hazards regression models for clus...
We present a Bayesian nonparametric model for conditional distribution
e...
Methods based on Bayesian decision tree ensembles have proven valuable i...
This paper demonstrates the advantages of sharing information about unkn...