A Theory of Bayesian Decision Making
AbstractThis 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.
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Bibliographic InfoPaper provided by Einaudi Institute for Economics and Finance (EIEF) in its series EIEF Working Papers Series with number 0904.
Length: 38 pages
Date of creation: 2009
Date of revision: May 2009
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