Genomic Prediction Using Bayesian Regression Models With Global–Local Prior

Bayesian regression models are widely used in genomic prediction for various species. By introducing the global parameter τ, which can shrink marker effects to zero, and the local parameter λk, which can allow markers with large effects to escape from the shrinkage, we developed two novel Bayesian m...

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Detalles Bibliográficos

Principais autores:	Shaolei Shi, Xiujin Li, Lingzhao Fang, Aoxing Liu, Guosheng Su, Yi Zhang, Basang Luobu, Xiangdong Ding, Shengli Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2021-04-01
Series:	Frontiers in Genetics
Assuntos:	half-Cauchy half-t distribution Horseshoe+ prior hyperparameter estimating Horseshoe
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fgene.2021.628205/full
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