Bayesian decision theory, subjective and objective probabilities, and acceptance of empirical hypotheses
Synthese 57 (3):341 - 365 (1983)
| Abstract | 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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Aidan Lyon (2010). Deterministic Probability: Neither Chance nor Credence. Synthese 182 (3):413-432.
Franz Huber (2005). Subjective Probabilities as Basis for Scientific Reasoning? British Journal for the Philosophy of Science 56 (1):101-116.
Itzhak Gilboa, Offer Lieberman & David Schmeidler (2010). On the Definition of Objective Probabilities by Empirical Similarity. Synthese 172 (1).
Joachim Hornung (1980). Carnap's Inductive Probabilities as a Contribution to Decision Theory. Theoretical Medicine and Bioethics 1 (3):325-367.
Simon Saunders (forthcoming). What is Probability? Arxiv Preprint Quant-Ph/0412194.
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