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20132021
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 7 of their papers we have counts for

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stat.AP202010 cited

Estimating heterogeneous effects of continuous exposures using Bayesian tree ensembles: revisiting the impact of abortion rates on crime

Spencer Woody, Carlos M. Carvalho, P. Richard Hahn +1

In estimating the causal effect of a continuous exposure or treatment, it is important to control for all confounding factors. However, most existing methods require parametric spe…

stat.AP20195 cited

Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda

Jennifer E. Starling, Catherine E. Aiken, Jared S. Murray +2

This paper proposes a Bayesian hierarchical model to characterize the relationship between birth weight and maternal pre-eclampsia across gestation at a large maternity hospital in…

stat.AP2019

A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence

Neil A. Spencer, Jared S. Murray

When a latent shoeprint is discovered at a crime scene, forensic analysts inspect it for distinctive patterns of wear such as scratches and holes (known as accidentals) on the sour…

stat.AP2019

Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous versus interval medical abortion regimens over gestation

Jennifer E. Starling, Jared S. Murray, Patricia A. Lohr +3

We introduce Targeted Smooth Bayesian Causal Forests (tsBCF), a nonparametric Bayesian approach for estimating heterogeneous treatment effects which vary smoothly over a single cov…