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Genetics Selection Evolution

Open Access

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 likelihoodMarkov chain Monte CarloEM algorithmMonte Carlo variancevariance components

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Authors’ Affiliations

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

Copyright

© INRA, EDP Sciences 2001

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