Posterior Probabilities: Dominance and Optimism
Sergiu Hart, Yosef Rinott

TL;DR
This paper explores the properties of Bayesian posterior probabilities, demonstrating that the true state's posterior is stochastically dominated and introducing the concept of 'optimism' in posterior assessments.
Contribution
It generalizes the dominance property of posterior probabilities to include notions of optimism, providing new theoretical insights into Bayesian inference.
Findings
Posterior probability of the true state is stochastically dominated.
Introduction of the concept of 'optimism' in posterior probabilities.
Generalization of dominance properties to broader notions of belief.
Abstract
The Bayesian posterior probability of the true state is stochastically dominated by that same posterior under the probability law of the true state. This generalizes to notions of "optimism" about posterior probabilities.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Bayesian Modeling and Causal Inference
