Rémi Louf

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That sounds like a very good plan to me! I'll have a closer look too when my big PR is merged.

Some ideas: - [ ] Eight schools - [ ] Radon - [ ] Baseball - [ ] Stochastic volatility model - [ ] Example of dynamic stopping rule (Rhat,...

Indeed! I will bump the implementation of discrete distributions so that the first release contains enough functionalities to implement most of the examples from Statistical Rethinking.

Awesome! `compiler-refactor` is the branch with the most recent version of the API. By the time you finish it should be merged :) I started here but there's almost nothing:...

Nice! Let me know if you bump into an issue with MCX, something not working or missing.

This looks very interesting, I will have a look!

Are you currently working on this?

I was about to open an issue to suggest the exact same thing as @nrakocz : `r2_score` should provide the entire distribution of `R2` values.

If not included in (1), a tutorial on identifying structural breaks with Bayesian methods would be great. SADF is cute but I am sure it can be greatly improved.

Will posterior sampling speed still be an issue with PyMC3 version 4?