More varieties of Bayesian theories, but no enlightenment

Behavioral and Brain Sciences 34 (4):193-194 (2011)
  Copy   BIBTEX

Abstract

We argue that Bayesian models are best categorized as methodological or theoretical. That is, models are used as tools to constrain theories, with no commitment to the processes that mediate cognition, or models are intended to approximate the underlying algorithmic solutions. We argue that both approaches are flawed, and that the Enlightened Bayesian approach is unlikely to help

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,846

External links

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

Through your library

Similar books and articles

What's left of Enlightenment?: a postmodern question.Keith Michael Baker & Peter Hanns Reill (eds.) - 2001 - Stanford, Calif.: Stanford University Press.
Bayes and beyond.Geoffrey Hellman - 1997 - Philosophy of Science 64 (2):191-221.
Decidability problem for finite Heyting algebras.Katarzyna Idziak & Pawel M. Idziak - 1988 - Journal of Symbolic Logic 53 (3):729-735.
A Bayesian Account of the Virtue of Unification.Wayne C. Myrvold - 2003 - Philosophy of Science 70 (2):399-423.
Natural law theories in the early Enlightenment.T. J. Hochstrasser - 2000 - New York: Cambridge University Press.
The role of Bayesian philosophy within Bayesian model selection.Jan Sprenger - 2013 - European Journal for Philosophy of Science 3 (1):101-114.
On the Nature of Bayesian Convergence.James Hawthorne - 1994 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:241 - 249.
Bayesian probability.Patrick Maher - 2010 - Synthese 172 (1):119 - 127.

Analytics

Added to PP
2013-10-27

Downloads
18 (#831,783)

6 months
6 (#518,648)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

Add more references