On the normalized maximum likelihood and Bayesian decision theory

DOI10.1016/j.jmp.2006.07.005zbMath1194.62008OpenAlexW2111126840MaRDI QIDQ867987

George Karabatsos, Stephen G. Walker

Publication date: 19 February 2007

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

Full work available at URL: https://doi.org/10.1016/j.jmp.2006.07.005

zbMATH Keywords

model selectionBayesian nonparametrics

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (6)

The flexibility of models of recognition memory: the case of confidence ratings ⋮ 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 ⋮ NML, Bayes and true distributions: a comment on Karabatsos and Walker (2006) ⋮ Rejoinder on the normalized maximum likelihood and Bayesian decision theory: reply to Grünwald and Navarro (2009) ⋮ A Bayesian Goodness of Fit Test and Semiparametric Generalization of Logistic Regression with Measurement Data

Cites Work

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• Bayesian nonparametrics
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• A Bayesian analysis of some nonparametric problems
• Statistical Decision Problems and Bayesian Nonparametric Methods
• Strong optimality of the normalized ML models as universal codes and information in data

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