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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Autors principals:	Shaolei Shi, Xiujin Li, Lingzhao Fang, Aoxing Liu, Guosheng Su, Yi Zhang, Basang Luobu, Xiangdong Ding, Shengli Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2021-04-01
Col·lecció:	Frontiers in Genetics
Matèries:	half-Cauchy half-t distribution Horseshoe+ prior hyperparameter estimating Horseshoe
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fgene.2021.628205/full
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