Hi!
I try to fit a model to predict log-transformed, neurophysiological data by age (values [0 1]). All variables are centered, the prior is a Cauchy distribution (0,2.5).

Eg. If you have discrete outcomes, don’t use a continuous likelihood, if you have negative values, don’t use a distribution that’s only positive and so on.