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Simple reparameterization to improve convergence in linear mixed models
Gregor Gorjanc, Tina Flisar, Jose Carlos Martínez-Ávila, Luis Alberto García-Cortés
Izvirni znanstveni članek
Oznake: statistics;mixed model;Bayesian analysis;McMC;reparameterization;convergence;
Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. Poor convergence is to a large extent caused by high posterior correlation between variance components and solutions for the levels of associated effects ...
Leto: 2010 Vir: Biotehniška fakulteta (UL BF)
Št. zadetkov: 1
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