Sensitivity to prior specification in Bayesian genome-based prediction models.

@article{Lehermeier2013SensitivityTP,
  title={Sensitivity to prior specification in Bayesian genome-based prediction models.},
  author={Christina Lehermeier and Valentin Wimmer and Theresa Albrecht and Hans-J{\"u}rgen Auinger and Daniel Gianola and Volker J. Schmid and Chris-Carolin Sch{\"o}n},
  journal={Statistical applications in genetics and molecular biology},
  year={2013},
  volume={12 3},
  pages={
          375-91
        }
}

• Christina Lehermeier, Valentin Wimmer, +4 authors Chris-Carolin Schön
• Published in
  Statistical applications in genetics and…
  2013
• DOI:10.1515/sagmb-2012-0042

Different statistical models have been proposed for maximizing prediction accuracy in genome-based prediction of breeding values in plant and animal breeding. However, little is known about the sensitivity of these models with respect to prior and hyperparameter specification, because comparisons of prediction performance are mainly based on a single set of hyperparameters. In this study, we focused on Bayesian prediction methods using a standard linear regression model with marker covariates… CONTINUE READING

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