8 citations · 18 across the 5 of their papers we have counts for
3 papers · 1 filter
Aggregate Bayesian Causal Forests: The ABCs of Flexible Causal Inference for Hierarchically Structured Data
Dan R. C. Thal, Lauren V. Forrow, Erin R. Lipman +2
This paper introduces aggregate Bayesian Causal Forests (aBCF), a new Bayesian model for causal inference using aggregated data. Aggregated data are common in policy evaluations wh…
VCBART: Bayesian trees for varying coefficients
Sameer K. Deshpande, Ray Bai, Cecilia Balocchi +2
The linear varying coefficient models posits a linear relationship between an outcome and covariates in which the covariate effects are modeled as functions of additional effect mo…
BART with Targeted Smoothing: An analysis of patient-specific stillbirth risk
Jennifer E. Starling, Jared S. Murray, Carlos M. Carvalho +2
This article introduces BART with Targeted Smoothing, or tsBART, a new Bayesian tree-based model for nonparametric regression. The goal of tsBART is to introduce smoothness over a…