Hi Max,
Thanks for your question.
- Have you done some prior predictive checks? Exponential and StudentT are fat-tails distributions and exp(50) can give super huge values, so I would check it the slowness isn’t coming from this. Depending on your domain and domain expertise, these priors could be justified, or maybe they are too wide
- What’s the scale of the data? If they are on a huge scale, that can get very hard to sample. In these cases, standardizing the data usually helps.
- What’s the size of your data? If it’s very big, then the model taking a long time to sample is less surprising.
Also, don’t forget to update your PyMC to the brand new 3.9.1 if you can
There are lots of new features in there!
Hope this helps 