5 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation
Andrew Herren, P. Richard Hahn, Rafael Alcantara
SHAP is a popular method for measuring variable importance in machine learning models. In this paper, we study the algorithm used to estimate SHAP scores and outline its connection…