As part of this chapter’s reading I redid the linear regression using Bayesian parameter estimation using PyMC, Bambi, and JAX. I’ve always thought Bayesian estimation is cool, but its the first time I’ve used the latest versions of these libraries and the new tools are incredible.
Great! I’m keen to do the same. How do you normally set up your env? Conda? I normally use poetry and I was hoping the latest release of pymc can be integrated with that tool via the pip release?