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Alternative implementations of Monte Carlo EM algorithms for likelihood inferences

Genetics Selection Evolution200133:443


Received: 14 September 2000

Accepted: 23 April 2001

Published: 15 July 2001


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.


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

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Authors’ Affiliations

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


© INRA, EDP Sciences 2001