Repository URL:
http://philsci-archive.pitt.edu/id/eprint/13260
Author(s):
Gordon Belot
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preprint description
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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