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Introduction to Bayesian Additive Regression Trees (BART) for Causal Inference

TL Revolution and Putnam Data Sciences 11,815 lượt xem 4 years ago
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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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