I am a fan of the book Statistical Rethinking, so I port the codes of its second edition to NumPyro. I hope that the book and this translation will be helpful not only for NumPyro/Pyro users but also for ones who are willing to do Bayesian statistics in Python.

• Read on the site: https://fehiepsi.github.io/rethinking-numpyro/

• Use GitHub's renderer: https://github.com/fehiepsi/rethinking-numpyro/tree/master/notebooks/

• Use Jupyter's nbviewer: https://nbviewer.jupyter.org/github/fehiepsi/rethinking-numpyro/tree/master/notebooks/

The following tools are used for some analysis and visualizations: arviz for posteriors, causalgraphicalmodels and daft for causal graphs, and (optional) ete3 for phylogenetic trees.

pip install numpyro arviz causalgraphicalmodels daft