Bayesian neural networks with variable selection for prediction of genotypic values

HIGHLIGHTS

• who: Giel H. H. van Bergen from the (UNIVERSITY) have published the research work: Bayesian neural networks with variable selection for prediction of genotypic values, in the Journal: (JOURNAL)
• what: In the section Results, the authors compare NetSparse to the reference methods GBLUP, BayesB, GBLUP-AD, BayesB-AD and GBLUP-ADAA. The authors did not have access to such resources, thus the authors used H=20, such that the model was able to fit complex non-linear interactions within reasonable computation time. Forp each s, the authors evaluate P1=p s | rest and P2=p . . .
  

   

  

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