Statistical Rethinking is an incredible introductory book to Bayesian Statistics. It follows a Jaynesian and practical approach with very good examples and clear explanations.
In this repository we port the book's original code in R and Stan to Python and PyMC. We attempt to reproduce the examples as faithfully as possible while expressing them in a Pythonic and PyMConic way.
All contributions are welcome!
Feel free to send PR to fix errors, improve the code, or make comments that could help users of this repository and readers of the book.
You can also join the discussion on Gitter.
To install the dependencies to run these notebooks, you can use Anaconda. Once you have installed Anaconda, run:
conda env create -f environment.yml
to install all the dependencies into an isolated environment.
Activate the environment by running:
source activate stat-rethink-pymc
Statistical Rethinking with Python and PyMC by All Contributors is licensed under a Creative Commons Attribution 4.0 International License.
