Alternative implementations of Monte Carlo EM algorithms for likelihood inferences.
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.
García-Cortés
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LA
Departamento de Genética, Universidad de Zaragoza, Calle Miguel Servet 177, Zaragoza, 50013, Spain.
Sorensen
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D000465:Algorithms; D000818:Animals; D001947:Breeding; D003198:Computer Simulation; D005260:Female; D016013:Likelihood Functions; D008297:Male; D008390:Markov Chains; D008433:Mathematics; D015233:Models, Statistical; D009010:Monte Carlo Method