Abstract
Given observations of a trait and a pedigree for a group of animals, the basic model in quantitative genetics is a linear mixed model with genetic random effects. The correlation matrix of the genetic random effects is determined by the pedigree and is typically very highdimensional but with a sparse inverse. Maximum likelihood inference and Bayesian inference for the linear mixed model are well-studied topics (Sorensen and Gianola, 2002). Regarding Bayesian inference, with appropriate choice of priors, the full conditional distributions are standard distributions and Gibbs sampling can be implemented relatively straightforwardly.
| Original language | English |
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| Title of host publication | Proceedings of the 8th World Congress on Genetics applied to Livestock Production |
| Number of pages | 6 |
| Publisher | SBMA, Sociedade Brasileira de Melhoramento Animal |
| Publication date | 2006 |
| ISBN (Electronic) | 85600088016 |
| Publication status | Published - 2006 |
| Event | World Congress on Genetics Applied to Livestock Production - Belo Horizonte, Brazil Duration: 13 Aug 2006 → 18 Aug 2006 Conference number: 8 |
Conference
| Conference | World Congress on Genetics Applied to Livestock Production |
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| Number | 8 |
| Country/Territory | Brazil |
| City | Belo Horizonte |
| Period | 13/08/2006 → 18/08/2006 |