Universal bayesian inference?

Behavioral and Brain Sciences 24 (4):662-663 (2001)
  Copy   BIBTEX

Abstract

We criticise Shepard's notions of “invariance” and “universality,” and the incorporation of Shepard's work on inference into the general framework of his paper. We then criticise Tenenbaum and Griffiths' account of Shepard (1987b), including the attributed likelihood function, and the assumption of “weak sampling.” Finally, we endorse Barlow's suggestion that minimum message length (MML) theory has useful things to say about the Bayesian inference problems discussed by Shepard and Tenenbaum and Griffiths. [Barlow; Shepard; Tenenbaum & Griffiths].

Author's Profile

Graham Oppy
Monash University

Analytics

Added to PP
2009-01-28

Downloads
232 (#59,929)

6 months
77 (#49,182)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?