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University of St. Thomas Center for Applied Mathematics

Non-informative Priors and Information Inequalities

Speaker: Arkady Shemyakin
Affiliation: University of St. Thomas
Presentation Date: October 16, 2009

Abstract:
The presentation (intended to be accessible to students in junior level Statistics classes) will deal with interesting parallels between contemporary “objective Bayesian approach” to the choice of prior distributions: non-informative priors, Jeffreys’ priors, reference priors on one hand, and the author’s work on the lower bounds for the Bayes risk on the other hand.



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