Use of the reversible jump markov chain monte carlo algorithm to select multiplicative terms in the ammi-bayesian model

HIGHLIGHTS

• who: Carlos Pereira da Silva et al. from the Department of Statistics (DES), Institute of Exact, Federal University of Lavras, Lavras, Minas, Federal University of Lavras, Lavras, Minas, Brazil have published the Article: Use of the reversible jump Markov chain Monte Carlo algorithm to select multiplicative terms in the AMMI-Bayesian model, in the Journal: PLOS ONE of August/11,/2021
• what: The model itself is considered as another unknown parameter to be estimated and, with that, each model has its probability distribution. The aim of this study was to adjust the AMMI model under . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.