Introduction to Bayesian Additive Regression Trees (BART) for Causal Inference
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Introduction to Bayesian Additive Regression Trees (BART) for Causal Inference
Dr. Nicole Bohme Carnegie, Assistant Professor of Statistics in the Department of Mathematical Sciences at Montana State University, provides an introduction to BART machine learning for causal inference. BART has been a leading estimation method in the Atlantic Causal Inference Data Challenges since its inauguration in 2016.
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