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We propose a measure of the impact of any two choices of prior distributionsby quantifying the Wasserstein distance between the respective resultingposterior distributions at any fixed sample size. We illustrate this measure onthe normal, Binomial and Poisson models.

A general measure of the impact of priors in Bayesian statistics via Stein's Method