Jared S. Murray

Causal machine learning for predicting treatment outcomes

Causal Inference About the Effects of Interventions From Observational Studies in Medical Journals

Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)

Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence