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Alternative implementations of Monte Carlo EM algorithms for likelihood inferences

Genetics Selection Evolution200133:443

https://doi.org/10.1186/1297-9686-33-4-443

Received: 14 September 2000

Accepted: 23 April 2001

Published: 15 July 2001

Abstract

Two methods of computing Monte Carlo estimators of variance components using restricted maximum likelihood via the expectation-maximisation algorithm are reviewed. A third approach is suggested and the performance of the methods is compared using simulated data.

Keywords

restricted maximum likelihood Markov chain Monte Carlo EM algorithm Monte Carlo variance variance components

(To access the full article, please see PDF)

Authors’ Affiliations

(1)
Departamento de Genética, Universidad de Zaragoza
(2)
Section of Biometrical Genetics, Department of Animal Breeding and Genetics, Danish Institute of Agricultural Sciences

Copyright

© INRA, EDP Sciences 2001

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