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.
Watch the live Hackathon Kickoff to get all the essential information about the SAS Hackathon—including how to join, how to participate, and expert tips for success.
