Monty Hall, Doomsday and confirmation

Analysis

Volumn 63, Issue 277, 2003, Pages 23-31

  Bradley, Darren ^a   Fitelson, Branden ^b  

^a STANFORD UNIVERSITY   (United States)

^b SAN JOSE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33846866677     PISSN: 00032638     EISSN: 14678284     Source Type: Journal    
DOI: 10.1111/j.0003-2638.2003.00389.x     Document Type: Review

References (18)

1. Bartha, P. and C. Hitchcock 1999. No one knows the date of the hour: an unorthodox application of Rev. Bayes's theorem. Philosophy of Science 66 (Proceedings): S329-53
2. Bostrom, N. 2002. Anthropic Bias: Observation Selection Effects in Science and Philosophy. New York: Routledge
3. Chun, Y. 1999. On the information economics approach to the generalized game show problem. American Statistician 53: 43-51
4. Cross, C. 2000. A characterization of imaging in terms of Popper functions. Philosophy of Science 67: 316-39
5. Hacking, I. 1965. Logic of Statistical Inference. Cambridge: Cambridge University Press
6. Horwich, P. 1982. Probability and Evidence. Cambridge: Cambridge University Press
7. Howson, C. and P. Urbach 1994. Scientific Reasoning: The Bayesian Approach. La Salle: Open Court
8. Korb, K. and J. Oliver 1999. A refutation of the doomsday argument. Mind 107: 403-10
9. Leslie, J. 1997. Observer-relative chances and the doomsday argument. Inquiry 40: 427-36
10. Milne, P. 1995. A Bayesian defence of Popperian science? Analysis 55: 213-15
11. Milne, P. 1996. log(p(h\eb)/p(h\b)) is the one true measure of confirmation. Philosophy of Science 63: 21-26
12. Royall, R. 1997. Statistical Evidence: A Likelihood Paradigm. London: Chapman & Hall
13. Schlesinger, G. 1992. The Sweep of Probability. South Bend: Notre Dame University Press
14. Schlesinger, G. 1995. Measuring degrees of confirmation. Analysis 55: 208-12
15. Shimony, A. 1955. Coherence and the axioms of confirmation. Journal of Symbolic Logic 20: 1-28
16. Sober, E. 1994. Contrastive empiricism. In his From a Biological Point of View. Cambridge: Cambridge University Press
17. Sober, E. 2002. An empirical critique of two versions of the doomsday argument - Gott's line and Leslie's wedge. Synthese 133
18. vos Savant, M. 1995. The World's Most Famous Math Problem. The Proof of Fermat's Last Theorem and Other Mathematical Mysteries. New York: St. Martin's Press