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20132026
most citedDiscussion on "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects" by Hahn, Murray and Carvalho

313 citations · 357 across the 10 of their papers we have counts for

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stat.CO2025

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…

stat.ME2025

Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference

Andy A. Shen, Eli Ben-Michael, Avi Feller +2

While balancing covariates between groups is central for observational causal inference, selecting which features to balance remains a challenging problem. Kernel balancing is a pr…