Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression

Most genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model, developed for ordered categorical phenotypes. In statistical applications, because of the easy implementation of the Bayesian probit or...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, José, Burgueño, Juan, Eskridge, Kent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2015
Materias:
Genomic Selection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592994/
https://www.ncbi.nlm.nih.gov/pubmed/26290569
http://dx.doi.org/10.1534/g3.115.021154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592994/
https://www.ncbi.nlm.nih.gov/pubmed/26290569
http://dx.doi.org/10.1534/g3.115.021154

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