Causal Inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties

Joseph Antonelli, Georgia Papadogeorgou, Francesca Dominici

We introduce a framework for estimating causal effects of binary and continuous treatments in high dimensions. We show how posterior distributions of treatment and outcome models c…