Model Criticism for Bayesian Causal Inference

arXiv: Methodology, 2016.

Cited by: 5|Views35


The goal of causal inference is to understand the outcome of alternative courses of action. However, all causal inference requires assumptions. Such assumptions can be more influential than in typical tasks for probabilistic modeling, and testing those assumptions is important to assess the validity of causal inference. We develop model c...More



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