Abstract
The robustness or sensitivity of some posterior criteria to specification of the prior distribution is considered. We model the uncertainties in an elicited prior, π0, by a ∊-contamination class , and consider the case where the class of contaminations Q = {all probability distributions}. The ranges of the posterior mean and the posterior variance, as the prior distribution varies over р, are determined. Examples involving normal and Poisson likelihoods are given.

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