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stat.ME2021
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
This paper develops a sparsity-inducing version of Bayesian Causal Forests, a recently proposed nonparametric causal regression model that employs Bayesian Additive Regression Tree…
stat.ME2020★ 1 cited
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
Large observational data are increasingly available in disciplines such as health, economic and social sciences, where researchers are interested in causal questions rather than pr…