A computationally-tractable measure of global sensitivity for sampling-based Bayesian inference

Arina Odnoblyudova, Charita Dellaporta, François-Xavier Briol

Bayesian inference can often be sensitive to the choice of hyperparameters of the prior or likelihood, yet defining and quantifying this sensitivity in a principled and computation…