Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-26T03:41:31.606Z Has data issue: false hasContentIssue false

In praise of Ecumenical Bayes

Published online by Cambridge University Press:  25 August 2011

Michael D. Lee
Affiliation:
Department of Cognitive Sciences, University of California, Irvine, CA 92697-5100. mdlee@uci.eduwww.socsci.uci.edu/~mdlee

Abstract

Jones & Love (J&L) should have given more attention to Agnostic uses of Bayesian methods for the statistical analysis of models and data. Reliance on the frequentist analysis of Bayesian models has retarded their development and prevented their full evaluation. The Ecumenical integration of Bayesian statistics to analyze Bayesian models offers a better way to test their inferential and predictive capabilities.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Huszar, F., Noppeney, U. & Lengyel, M. (2010) Mind reading by machine learning: A doubly Bayesian method for inferring mental representations. In: Proceedings of the 32nd Annual Conference of the Cognitive Science Society, ed. Catrambone, R. & Ohlsson, S., pp. 2810–15. Cognitive Science Society.Google Scholar
Kruschke, J. K. (2010) What to believe: Bayesian methods for data analysis. Trends in Cognitive Science 14:293300.CrossRefGoogle ScholarPubMed
Lee, M. D. (2008) Three case studies in the Bayesian analysis of cognitive models. Psychonomic Bulletin and Review 15:115.CrossRefGoogle ScholarPubMed
Lee, M. D. (2010) Emergent and structured cognition in Bayesian models: Comment on Griffiths et al. and McClelland et al. Trends in Cognitive Sciences 14:345–46.CrossRefGoogle Scholar
Lee, M. D. (2011) How cognitive modeling can benefit from hierarchical Bayesian models. Journal of Mathematical Psychology 55:17.Google Scholar
Lee, M. D. & Sarnecka, B. W. (2010) A model of knower-level behavior in number-concept development. Cognitive Science 34:5167.Google Scholar
Lee, M. D. & Sarnecka, B. W. (in press) Number knower-levels in young children: Insights from a Bayesian model. Cognition.Google Scholar