Model Selection Using the Minimum Description Length Principle

DOI10.2307/2685777zbMath1248.62002OpenAlexW4241602718MaRDI QIDQ3365356

Peter G. Bryant, Olga I. Cordero-Braña

Publication date: 2000

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2685777

Mathematics Subject Classification ID

Foundational topics in statistics (62A99)

Related Items (3)

Information optimality and Bayesian modelling ⋮ MDL Mean Function Selection in Semiparametric Kernel Regression Models ⋮ An extended minimum description length (MDL) penalty function for binomial proportions

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