A Theory of Bayesian Decision Making

Edi Karni

No 904, EIEF Working Papers Series from Einaudi Institute for Economics and Finance (EIEF)

Abstract: This paper presents a complete, choice-based, axiomatic Bayesian decision theory. It introduces a new choice set consisting of information-contingent plans for choosing actions and bets and subjective expected utility model with effect-dependent utility functions and action-dependent subjective probabilities which, in conjunction with the updating of the probabilities using Bayes’ rule, gives rise to a unique prior and a set of action-dependent posterior probabilities representing the decision maker’s prior and posterior beliefs.

Pages: 38 pages
Date: 2009, Revised 2009-05
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Related works:
Working Paper: A Theory of Bayesian Decision Making (2009)
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