@lucianopaz But doesn’t this make the prior predictive wrong as a tool for debugging a model? It is going to give results that are outside the support of the distribution, correct?
Even worse, it seems to me, is what will happen if we use posterior predictive sampling for out-of-sample predictions (machine learning applications). In this case we are going to return predictions that are simply wrong, aren’t we?