David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Gogoa 8 (1):138 (2008)
In introducing the papers of the symposiasts, I distinguish between statistical, physical, and evidential probability. The axioms of the probability calculus and so Bayes’s theorem can be expressed in terms of any of these kinds of probability. Sober questions the general utility of the theorem. Howson, Dawid, and Earman agree that it applies to the fields they discuss--statistics, assessment of guilt by juries, and miracles. Dawid and Earman consider that prior probabilities need to be supplied by empirical evidence, while Howson considers that there are no objective constraints on prior probabilities. I argue that simplicity is a crucial determinant of prior probability. Miller discussed how Bayes’s theorem can be interpreted so as to apply to physical probability
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Buy the book||$31.64 used (21% off) $77.57 new Amazon page|
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
No references found.
Citations of this work BETA
Prasanta S. Bandyopadhyay & Gordon Brittan (2010). Two Dogmas of Strong Objective Bayesianism. International Studies in the Philosophy of Science 24 (1):45 – 65.
G. Vision (2005). Truly Justified Belief. Synthese 146 (3):405 - 446.
G. Vision (2005). Truly Justified Belief. Synthese 146 (3):405-446.
Similar books and articles
Richard Swinburne (2002). Introduction to Bayes's Theorem. In Bayes’s Theorem. Oxford Univ Pr
James Joyce, Bayes' Theorem. Stanford Encyclopedia of Philosophy.
Massimo Pigliucci (2005). Bayes's Theorem. [REVIEW] Quarterly Review of Biology 80 (1):93-95.
John Earman (2002). Bayes, Hume, Price, and Miracles. In Richard Swinburne (ed.), Bayes’s Theorem. Oxford University Press 91--110.
R. Festa (1993). Optimum Inductive Methods. Kluwer Academic Publishers: Dordrecht.
Keith Lehrer (1983). Rationality as Weighted Averaging. Synthese 57 (3):283 - 295.
Jan Plato (1982). The Significance of the Ergodic Decomposition of Stationary Measures for the Interpretation of Probability. Synthese 53 (3):419-432.
Jan von Plato (1982). The Significance of the Ergodic Decomposition of Stationary Measures for the Interpretation of Probability. Synthese 53 (3):419 - 432.
Prasanta S. Bandyopadhayay, Robert J. Boik & Prasun Basu (1996). The Curve Fitting Problem: A Bayesian Approach. Philosophy of Science 63 (3):272.
Wesley C. Salmon (1990). The Appraisal of Theories: Kuhn Meets Bayes. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:325 - 332.
Stephen T. Davis (1999). Is Belief in the Resurrection Rational? Philo 2 (1):51-61.
Paul Bartha & Christopher Hitchcock (1999). No One Knows the Date or the Hour: An Unorthodox Application of Rev. Bayes's Theorem. Philosophy of Science 66 (3):353.
Added to index2011-04-12
Total downloads25 ( #162,739 of 1,934,425 )
Recent downloads (6 months)11 ( #48,396 of 1,934,425 )
How can I increase my downloads?