Probabilistically Sophisticated Multiple Priors.

Abstract

We characterize the intersection of the probabilistically sophisticated and multiple prior models. We show this class is strictly larger than the subjective expected utility model and that its elements can be generated from a generalized class of the -contaminated priors, which we dub the - contaminated/ -truncated prior.subjective probability, maximin expected utility, epsilon-contamined priors.