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Curve-Fitting for Bayesians?

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:
CreatorsEmailORCID
Belot, Gordonbelot@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: http://philsci-archive.pitt.edu/id/eprint/13260

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