This answer works great, but is there a way to assign vec to its own pymc3 variable in the model, and ignore a and b? I do not need a and b as standalone parameters in the trace, but would like to use vec__0, …, vec__n, instead. That way, I can work with a variable number of terms in an N-d linear model where I want different priors for different terms.