An AI-powered Bayesian Generative Modeling Approach for Causal Inference in Observational Studies
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Causal inference in observational studies with high-dimensional covariates presents significant challenges. We introduce CausalBGM, an AI-powered Bayesian generative modeling approach that captures the causal relationship among covariates, treatment, and outco... ...
