A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics

In quantitative genetics, Markov chain Monte Carlo (MCMC) methods are indispensable for statistical inference in non-standard models like generalized linear models with genetic random effects or models with genetically structured variance heterogeneity. A particular challenge for MCMC applications i...

Descripción completa

Detalles Bibliográficos
Autores principales: Waagepetersen, Rasmus, Ibánẽz-Escriche, Noelia, Sorensen, Daniel
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674923/
https://www.ncbi.nlm.nih.gov/pubmed/18298933
http://dx.doi.org/10.1186/1297-9686-40-2-161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674923/
https://www.ncbi.nlm.nih.gov/pubmed/18298933
http://dx.doi.org/10.1186/1297-9686-40-2-161

Ejemplares similares