Literature DB >> 11559486

Alternative implementations of Monte Carlo EM algorithms for likelihood inferences.

L A García-Cortés1, D Sorensen.   

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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Mesh：

Year:  2001        PMID： 11559486      PMCID： PMC2705416          DOI： 10.1186/1297-9686-33-4-443

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN： 0999-193X            Impact factor:   4.297


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  5 in total

Review 1.  Estimation of quantitative genetic parameters.

Authors:  Robin Thompson; Sue Brotherstone; Ian M S White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

2.  Getting the timing right: antler growth phenology and sexual selection in a wild red deer population.

Authors:  Michelle N Clements; Tim H Clutton-Brock; Steve D Albon; Josephine M Pemberton; Loeske E B Kruuk
Journal:  Oecologia       Date:  2010-05-18       Impact factor: 3.225

3.  An analytics approach to designing patient centered medical homes.

Authors:  Saeede Ajorlou; Issac Shams; Kai Yang
Journal:  Health Care Manag Sci       Date:  2014-06-19

4.  Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters.

Authors:  Kaarina Matilainen; Esa A Mäntysaari; Martin H Lidauer; Ismo Strandén; Robin Thompson
Journal:  PLoS One       Date:  2013-12-10       Impact factor: 3.240

5.  Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens.

Authors:  Huiyu Wang; Ignacy Misztal; Ignacio Aguilar; Andres Legarra; Rohan L Fernando; Zulma Vitezica; Ron Okimoto; Terry Wing; Rachel Hawken; William M Muir
Journal:  Front Genet       Date:  2014-05-20       Impact factor: 4.599
  5 in total

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