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20222026
most citedCausalEGM: a general causal inference framework by encoding generative modeling

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An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Qiao Liu, Wing Hung Wong

Causal inference in observational studies with high-dimensional covariates presents significant challenges. We introduce CausalBGM, an AI-powered Bayesian generative modeling appro…