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Bayesian additive regression trees (BART) are a flexible predictive modeling technique and top-performing method for causal inference. Learn about how you can fit these models and use them for causal effect estimation with the BART procedure. Presenting Company: SAS Related Links SAS Innovate Conference Site – http://www.sas.com/innovate ...
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