Employing a Monte Carlo Algorithm in Newton-Type Methods for Restricted Maximum Likelihood Estimation of Genetic Parameters

Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models. However, efficiency may be lost due to the need for a large number of iterations of the E...

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Detalles Bibliográficos
Autores principales: Matilainen, Kaarina, Mäntysaari, Esa A., Lidauer, Martin H., Strandén, Ismo, Thompson, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3858226/
https://www.ncbi.nlm.nih.gov/pubmed/24339886
http://dx.doi.org/10.1371/journal.pone.0080821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3858226/
https://www.ncbi.nlm.nih.gov/pubmed/24339886
http://dx.doi.org/10.1371/journal.pone.0080821

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