Statistical Rethinking is an incredible good introductory book to Bayesian Statistics, its follows a Jaynesian and practical approach with very good examples and clear explanations.
In this repository I am (slowly) porting the examples in the book to PyMC3. I am trying to keep the examples as close as possible to those in the book, while at the same time I am trying to express them in the most Pythonic and PyMC3onic way I can.
All contributions are wellcome!