NML, Bayes and true distributions: a comment on Karabatsos and Walker (2006)

DOI10.1016/j.jmp.2008.11.005zbMath1176.91141OpenAlexW2033458687MaRDI QIDQ1042305

Daniel J. Navarro, Peter D. Grünwald

Publication date: 7 December 2009

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2440/60483

zbMATH Keywords

minimum description lengthBayesian inferencenormalized maximum likelihood

Mathematics Subject Classification ID

Measurement and performance in psychology (91E45)

Related Items

Selecting amongst multinomial models: an apologia for normalized maximum likelihood, The flexibility of models of recognition memory: an analysis by the minimum-description length principle, Rejoinder on the normalized maximum likelihood and Bayesian decision theory: reply to Grünwald and Navarro (2009)

Cites Work

• On the normalized maximum likelihood and Bayesian decision theory
• Statistical decision theory and Bayesian analysis. 2nd ed
• Estimating the dimension of a model
• A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability
• Bayesian nonparametrics
• Cross-validation methods
• Suboptimal behavior of Bayes and MDL in classification under misspecification
• Model selection by normalized maximum likelihood
• A Bayesian analysis of some nonparametric problems
• Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
• Strong optimality of the normalized ML models as universal codes and information in data
• Bayesian Density Estimation and Inference Using Mixtures
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item