A Scope of the Possibilities of Bayesian Inference + MCMC

  • Agustín Blasco


Bayesian analysis can be applied in all fields of animal production in which statistics is needed. We have seen hitherto how useful Bayesian analysis is for the standard linear model, including mixed models. We have faced common problems like comparison among treatments, regression and covariates, genetic merit prediction, variance components estimation and so on. Now we will try to see some of the possibilities of Bayesian analyses in models that are more complex. It is out of the scope of this book to have an encyclopaedic list of all possible problems that Bayesian analysis can handle. What we will do, however, is to carry out a close examination to some difficult problems and outline their Bayesian solution. We have chosen three examples that have no solution using classical statistics, or for which the classical solution is not straightforward.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Agustín Blasco
    • 1
  1. 1.Institute of Animal Science and TechnologyUniversitat Politècnica de ValènciaValènciaSpain

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