Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation

Multivariate linear models are increasingly important in quantitative genetics. In high dimensional specifications, factor analysis (FA) may provide an avenue for structuring (co)variance matrices, thus reducing the number of parameters needed for describing (co)dispersion. We describe how FA can be...

Descripción completa

Detalles Bibliográficos
Autores principales: de los Campos, Gustavo, Gianola, Daniel
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2682801/
https://www.ncbi.nlm.nih.gov/pubmed/17897592
http://dx.doi.org/10.1186/1297-9686-39-5-481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2682801/
https://www.ncbi.nlm.nih.gov/pubmed/17897592
http://dx.doi.org/10.1186/1297-9686-39-5-481

Ejemplares similares