Authors
Gordon Belot
University of Michigan, Ann Arbor
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.
Keywords Curve-Fitting  Bayesianism
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Reprint years 2015, 2017
DOI 10.1093/bjps/axv061
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References found in this work BETA

Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press.
Humean Supervenience Debugged.David K. Lewis - 1994 - Mind 103 (412):473--490.
Bayes or Bust?John Earman - 1992 - Bradford.

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Citations of this work BETA

Objectivity and Bias.Gordon Belot - 2017 - Mind 126 (503):655-695.

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