1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
Modified BART for Learning Heterogeneous Effects in Regression Discontinuity Designs
Rafael Alcantara, Meijia Wang, P. Richard Hahn +1
This paper introduces BART-RDD, a sum-of-trees regression model built around a novel regression tree prior, which incorporates the special covariate structure of regression discont…
LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
Meijia Wang, Ignacio Martinez, P. Richard Hahn
This paper introduces a novel approach for estimating heterogeneous treatment effects of binary treatment in panel data, particularly focusing on short panel data with large cross-…
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
Demetrios Papakostas, Andrew Herren, P. Richard Hahn +1
Causal inference has gained much popularity in recent years, with interests ranging from academic, to industrial, to educational, and all in between. Concurrently, the study and us…