Arbeitspapier

A theory of Bayesian decision making

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.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 550

Classification
Wirtschaft
Information, Knowledge, and Uncertainty: General
Criteria for Decision-Making under Risk and Uncertainty
Asymmetric and Private Information; Mechanism Design
Subject
Bayesian decision making
subjective probabilities
prior distributions
beliefs

Event
Geistige Schöpfung
(who)
Karni, Edi
Event
Veröffentlichung
(who)
The Johns Hopkins University, Department of Economics
(where)
Baltimore, MD
(when)
2009

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Karni, Edi
  • The Johns Hopkins University, Department of Economics

Time of origin

  • 2009

Other Objects (12)