A Theory of Bayesian Decision Making
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.Download Info
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Paper provided by The Johns Hopkins University,Department of Economics in its series Economics Working Paper Archive with number 550.Length:
Date of creation: May 2009
Date of revision:
Handle: RePEc:jhu:papers:550
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Keywords:This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-05-23 (All new papers)
- NEP-GTH-2009-05-23 (Game Theory)
- NEP-HPE-2009-05-23 (History & Philosophy of Economics)
- NEP-UPT-2009-05-23 (Utility Models & Prospect Theory)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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