Curve-Fitting for Bayesians?

British Journal for the Philosophy of Science 68 (3):689-702 (2017)
  Copy   BIBTEX

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.

Categories

Keywords

Reprint years

2015

DOI

10.1093/bjps/axv061

Links

PhilArchive

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Forster and Sober on the curve-fitting problem.André Kukla - 1995 - British Journal for the Philosophy of Science 46 (2):248-252.
The curve fitting problem: A bayesian approach.Prasanta S. Bandyopadhayay, Robert J. Boik & Prasun Basu - 1996 - Philosophy of Science 63 (3):272.
The curve fitting problem: A bayesian rejoinder.Prasanta S. Bandyopadhyay & Robert J. Boik - 1999 - Philosophy of Science 66 (3):402.
The golfer's dilemma: A reply to Kukla on curve-fitting.Malcolm R. Forster - 1995 - British Journal for the Philosophy of Science 46 (3):348-360.
Akaike information criterion, curve-fitting, and the philosophical problem of simplicity.I. A. Kieseppä - 1997 - British Journal for the Philosophy of Science 48 (1):21-48.
How to Tell When Simpler, More Unified, or Less A d Hoc Theories Will Provide More Accurate Predictions.Malcolm R. Forster & Elliott Sober - 1994 - British Journal for the Philosophy of Science 45 (1):1-35.
The curve fitting problem: A solution.Peter Turney - 1990 - British Journal for the Philosophy of Science 41 (4):509-530.
Simplicity tracks truth because compression tracks probability.Steve Petersen - manuscript
The Goodman-Kripke Paradox.Robert Kowalenko - 2003 - Dissertation, King's College London
Inductive Inference and Stability.Peter David Turney - 1988 - Dissertation, University of Toronto (Canada)
Curve Fitting, the Reliability of Inductive Inference, and the Error‐Statistical Approach.Aris Spanos - 2007 - Philosophy of Science 74 (5):1046-1066.
Simple or Simplistic? Scientists' Views on Occam's Razor.Hauke Riesch - 2010 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 25 (1):75-90.
A Gruesome Problem for the Curve-Fitting Solution.Scott DeVito - 1997 - British Journal for the Philosophy of Science 48 (3):391-396.
How Occam's razor provides a neat definition of direct causation.Alexander Gebharter & Gerhard Schurz - 2014 - In J. M. Mooij, D. Janzing, J. Peters, T. Claassen & A. Hyttinen (eds.), Proceedings of the UAI Workshop Causal Inference: Learning and Prediction. CEUR-WS. pp. 1-10.
The curve-fitting problem: An objectivist view.Stanley A. Mulaik - 2001 - Philosophy of Science 68 (2):218-241.

Analytics

Added to PP
2015-08-02

Downloads
541 (#31,866)

6 months
73 (#57,834)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Gordon Belot
University of Michigan, Ann Arbor

Citations of this work

Unprincipled.Gordon Belot - forthcoming - Review of Symbolic Logic:1-57.
Objectivity and Bias.Gordon Belot - 2017 - Mind 126 (503):655-695.

Add more citations

References found in this work

Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press. Edited by Stephan Hartmann.
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
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.

View all 35 references / Add more references