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
Creators:	Creators Email ORCID Belot, Gordon belot@umich.edu
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
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
Date:	8 April 2015
URI:	https://philsci-archive.pitt.edu/id/eprint/13260

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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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