Truncated Likelihood results in massive increase in sampling time for Prior & Posterior predictive

Generating random draws from the Truncated Normal is probably slower than fr9m a vanilla Normal.

I think we are just using scipy trunc_norm. You can see if taking rvs eith similar parameters as in your model is indeed so mich slower.

Can you share a small reproducible snippet that illustrates the slowdown?