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Alternative implementations of Monte Carlo EM algorithms for likelihood inferences

Genetics Selection Evolution volume 33, Article number: 443 (2001) Cite this article

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.

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Authors and Affiliations

  1. Departamento de Genética, Universidad de Zaragoza, Calle Miguel Servet 177, Zaragoza, 50013, Spain

    Louis Alberto García-Cortés

  2. Section of Biometrical Genetics, Department of Animal Breeding and Genetics, Danish Institute of Agricultural Sciences, PB 50, 8830, Tjele, Denmark

    Daniel Sorensen

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  1. Louis Alberto García-Cortés
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  2. Daniel Sorensen
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Correspondence to Daniel Sorensen.

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García-Cortés, L.A., Sorensen, D. Alternative implementations of Monte Carlo EM algorithms for likelihood inferences. Genet Sel Evol 33, 443 (2001). https://doi.org/10.1186/1297-9686-33-4-443

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

Keywords

Genetics Selection Evolution

ISSN: 1297-9686