Free Access
| Issue |
Genet. Sel. Evol.
Volume 33, Number 4, July-August 2001
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|---|---|---|
| Page(s) | 443 - 452 | |
| DOI | https://doi.org/10.1051/gse:2001106 | |
DOI: 10.1051/gse:2001106
Genet. Sel. Evol. 33 (2001) 443-452
a Departamento de Genética, Universidad de Zaragoza, Calle Miguel Servet 177, Zaragoza, 50013, Spain
b Section of Biometrical Genetics, Department of Animal Breeding and Genetics, Danish Institute of Agricultural Sciences, PB 50, 8830 Tjele, Denmark
Key words: restricted maximum likelihood / Markov chain Monte Carlo / EM algorithm / Monte Carlo variance / variance components
Correspondence and reprints: Daniel Sorensen
e-mail: sorensen@inet.uni2.dk
© INRA, EDP Sciences 2001
Genet. Sel. Evol. 33 (2001) 443-452
Alternative implementations of Monte Carlo EM algorithms for likelihood inferences
Louis Alberto García-Cortésa and Daniel Sorensenba Departamento de Genética, Universidad de Zaragoza, Calle Miguel Servet 177, Zaragoza, 50013, Spain
b Section of Biometrical Genetics, Department of Animal Breeding and Genetics, Danish Institute of Agricultural Sciences, PB 50, 8830 Tjele, Denmark
(Received 14 September 2000; accepted 23 April 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.
Key words: restricted maximum likelihood / Markov chain Monte Carlo / EM algorithm / Monte Carlo variance / variance components
Correspondence and reprints: Daniel Sorensen
e-mail: sorensen@inet.uni2.dk
© INRA, EDP Sciences 2001