Open Access
June 1996 Epi-convergence of sequences of normal integrands and strong consistency of the maximum likelihood estimator
Christian Hess
Ann. Statist. 24(3): 1298-1315 (June 1996). DOI: 10.1214/aos/1032526970

Abstract

Using the variational properties of epi-convergence together with suitable results on the measurability of multifunctions and integrands, we prove a strong law of large numbers for sequences of integrands from which we deduce a general theorem of almost sure convergence (strong consistency) for the maximum likelihood estimator.

Citation

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Christian Hess. "Epi-convergence of sequences of normal integrands and strong consistency of the maximum likelihood estimator." Ann. Statist. 24 (3) 1298 - 1315, June 1996. https://doi.org/10.1214/aos/1032526970

Information

Published: June 1996
First available in Project Euclid: 20 September 2002

zbMATH: 0862.62029
MathSciNet: MR1401851
Digital Object Identifier: 10.1214/aos/1032526970

Subjects:
Primary: 28B20 , 49K45 , 54D35 , 62F12 , 62H12 , 62L20

Keywords: epi-convergence , Maximum likelihoood estimator , measurable multifunctions , normal integrands , set convergence , strong consistency

Rights: Copyright © 1996 Institute of Mathematical Statistics

Vol.24 • No. 3 • June 1996
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