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20152025
most citedDiscussion on "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects" by Hahn, Murray and Carvalho

313 citations · 323 across the 4 of their papers we have counts for

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stat.ME2021★ 313 cited

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

Liangyuan Hu

Hahn et al. (2020) offers an extensive study to explicate and evaluate the performance of the BCF model in different settings and provides a detailed discussion about its utility i…

stat.ME2016

Regularization and confounding in linear regression for treatment effect estimation

P. Richard Hahn, Carlos M. Carvalho, Jingyu He +1

This paper investigates the use of regularization priors in the context of treatment effect estimation using observational data where the number of control variables is large relat…