#StackBounty: #r #bayesian #mcmc #prior #hierarchical-bayesian For Prior definition in bayesian regression with R package MCMCglmm, how…

Bounty: 50

I understand the strength of the Prior is set via parameter nu however, I can not find information what nu expresses in statistical terms, e.g. how strong would a prior that is similar to the number of variables x be in this example?

#Inverse Wishart (multivariate, variables=x)

    prior.miw<-list(R=list(V=diag(x), nu=x),G=list(G1=list(V=diag(x),
nu=x))) 

I also saw a lot of examples for weak priors with nu=0.01, does it mean we have a 1/100 degree of belief in the prior compared to the posterior?


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