PC priors for residual correlation parameters in one-factor mixed models

  title={PC priors for residual correlation parameters in one-factor mixed models},
  author={Massimo Ventrucci and Daniela Cocchi and Gemma Burgazzi and Alex Laini},
  journal={Statistical Methods \& Applications},
Lack of independence in the residuals from linear regression motivates the use of random effect models in many applied fields. We start from the one-way anova model and extend it to a general class of one-factor Bayesian mixed models, discussing several correlation structures for the within group residuals. All the considered group models are parametrized in terms of a single correlation (hyper-)parameter, controlling the shrinkage towards the case of independent residuals (iid). We derive a… 
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