Belot, Gordon (2015) Curve-Fitting for Bayesians? [Preprint]
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Abstract
Bayesians often assume, suppose, or conjecture that for any reasonable explication of the notion of simplicity a prior can be designed that will enforce a preference for hypotheses simpler in just that sense. But it is shown here that there are simplicity-driven approaches to curve-fitting problems that cannot be captured within the orthodox Bayesian framework.
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Item Type: | Preprint | ||||||
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Additional Information: | Forthcoming in BJPS. Note: This is a revised version. The originally posted version of this paper featured an appendix concerning the Bayesian automatic Ockham's razor. The argument of the appendix involved a fallacy that was both embarrassing and pointless. The material on the automatic razor is excised here. A corrected version will form a free-standing paper. | ||||||
Keywords: | Bayesian Curve-Fitting Simplicity | ||||||
Subjects: | General Issues > Confirmation/Induction Specific Sciences > Probability/Statistics |
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Depositing User: | Gordon Belot | ||||||
Date Deposited: | 27 Jul 2017 16:03 | ||||||
Last Modified: | 27 Jul 2017 16:03 | ||||||
Item ID: | 13260 | ||||||
Subjects: | General Issues > Confirmation/Induction Specific Sciences > Probability/Statistics |
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Date: | 8 April 2015 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/13260 |
Available Versions of this Item
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Curve-Fitting for Bayesians? (deposited 10 Apr 2015 14:11)
- Curve-Fitting for Bayesians? (deposited 27 Jul 2017 16:03) [Currently Displayed]
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