Curve-Fitting for Bayesians?

British Journal for the Philosophy of Science 68 (3):689-702 (2017)
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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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Gordon Belot
University of Michigan, Ann Arbor

Citations of this work

Unprincipled.Gordon Belot - 2024 - Review of Symbolic Logic 17 (2):435-474.
Objectivity and Bias.Gordon Belot - 2017 - Mind 126 (503):655-695.

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References found in this work

Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press. Edited by Stephan Hartmann.
Philosophy of natural science.Carl Gustav Hempel - 1966 - Englewood Cliffs, N.J.,: Prentice-Hall.
Humean Supervenience Debugged.David Lewis - 1994 - Mind 103 (412):473--490.

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