Bayesian decision theory, subjective and objective probabilities, and acceptance of empirical hypotheses
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Synthese 57 (3):341 - 365 (1983)
It is argued that we need a richer version of Bayesian decision theory, admitting both subjective and objective probabilities and providing rational criteria for choice of our prior probabilities. We also need a theory of tentative acceptance of empirical hypotheses. There is a discussion of subjective and of objective probabilities and of the relationship between them, as well as a discussion of the criteria used in choosing our prior probabilities, such as the principles of indifference and of maximum entropy, and the simplicity ranking of alternative hypotheses.
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References found in this work BETA
Bruno de Finetti (1937). La Prévision: Ses Lois Logiques, Ses Sources Subjectives. Annales de l'Institut Henri Poincaré 17:1-68.
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Edwin T. Jaynes (1968). Prior Probabilities. Ieee Transactions on Systems and Cybernetics (3):227-241.
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Citations of this work BETA
John C. Harsanyi (1985). Acceptance of Empirical Statements: A Bayesian Theory Without Cognitive Utilities. Theory and Decision 18 (1):1-30.
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