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Bayesian estimation in animal breeding using the Dirichlet process prior for correlated random effects
In the case of the mixed linear model the random effects are usually assumed to be normally distributed in both the Bayesian and classical frameworks. In this paper, the Dirichlet process prior was used to provide nonparametric Bayesian estimates for correlated random effects. This goal was achieved...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2003
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732692/ https://www.ncbi.nlm.nih.gov/pubmed/12633530 http://dx.doi.org/10.1186/1297-9686-35-2-137 |