Bayesian decision theory, subjective and objective probabilities, and acceptance of empirical hypotheses
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
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.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Leonard J. Savage (1954). The Foundations of Statistics. Wiley Publications in Statistics.
Isaac Levi (1967/1973). Gambling with Truth. Cambridge,MIT Press.
Bruno de Finetti (1937). La Prévision: Ses Lois Logiques, Ses Sources Subjectives. Annales de l'Institut Henri Poincaré 17:1-68.
Harold Jeffreys (1973). Scientific Inference. Cambridge [Eng.]Cambridge University Press.
Citations of this work BETA
Daniel Steel (2015). Acceptance, Values, and Probability. Studies in History and Philosophy of Science Part A 53:81-88.
Michael Moehler (2015). The Rawls–Harsanyi Dispute: A Moral Point of View. Pacific Philosophical Quarterly 97 (1).
Sven Ove Hansson (2007). Values in Pure and Applied Science. Foundations of Science 12 (3):257-268.
John C. Harsanyi (1985). Acceptance of Empirical Statements: A Bayesian Theory Without Cognitive Utilities. Theory and Decision 18 (1):1-30.
Similar books and articles
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):79 - 95.
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.
R. Festa (1993). Optimum Inductive Methods. Kluwer Academic Publishers: Dordrecht.
Added to index2009-01-28
Total downloads60 ( #67,848 of 1,790,397 )
Recent downloads (6 months)16 ( #50,831 of 1,790,397 )
How can I increase my downloads?