Bayesian model averaging over the two possible causal directions in a bivariate system is decision-optimal under well-specified models and improves decisions in simulations when structural uncertainty is genuine.
Causal inference in statistics, social, and biomedical sciences
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Incorporating structural uncertainty in causal decision making
Bayesian model averaging over the two possible causal directions in a bivariate system is decision-optimal under well-specified models and improves decisions in simulations when structural uncertainty is genuine.