2 papers
stat.ME2026
A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
Rafael Alcantara, P. Richard Hahn, Hedibert F. Lopes
This paper develops an effective Bayesian approach to conditional average treatment effect (CATE) estimation in regression discontinuity designs (RDD), an increasingly prevalent fo…
stat.CO2026
StochTree: BART-based modeling in R and Python
Andrew Herren, P. Richard Hahn, Jared Murray +1
stochtree is a C++ library for Bayesian tree ensemble models such as BART and Bayesian Causal Forests (BCF), as well as user-specified variations. Unlike previous BART packages, st…