The Annals of Statistics

Estimating the Dimension of a Model

Gideon Schwarz

Source: Ann. Statist. Volume 6, Number 2 (1978), 461-464.

Abstract

The problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion. These terms are a valid large-sample criterion beyond the Bayesian context, since they do not depend on the a priori distribution.

Primary Subjects: 62F99
Secondary Subjects: 62J99
Keywords: Dimension; Akaike information criterion; asymptotics

Full-text: Open access

Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aos/1176344136
JSTOR: links.jstor.org
Digital Object Identifier: doi:10.1214/aos/1176344136
Mathematical Reviews number (MathSciNet): MR468014
Zentralblatt MATH identifier: 0379.62005


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