https://github.com/aloctavodia/statistical-rethinking-with-python-and-pymc3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
https://github.com/aloctavodia/statistical-rethinking-with-python-and-pymc3

bayesian-data-analysis data-science pymc python statistics

Last synced: 5 days ago
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Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

• Host: GitHub
• URL: https://github.com/aloctavodia/statistical-rethinking-with-python-and-pymc3
• Owner: aloctavodia
• Created: 2016-09-09T04:41:51.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2020-06-15T08:37:30.000Z (over 4 years ago)
• Last Synced: 2024-10-14T20:43:41.016Z (2 months ago)
• Topics: bayesian-data-analysis, data-science, pymc, python, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 52.4 MB
• Stars: 830
• Watchers: 48
• Forks: 254
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Statistical Rethinking with Python and PyMC3

**This repository has been deprecated in favour of this [one](https://github.com/pymc-devs/resources/tree/master/Rethinking), please check that repository for updates, for opening issues or sending pull requests** 

[Statistical Rethinking](http://xcelab.net/rm/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 we ported the codes ([originally in R and Stan](https://github.com/rmcelreath/rethinking)) in the book to PyMC3. We are trying to keep the examples as close as possible to those in the book, while at the same time trying to express them in the most _Pythonic_ and _PyMC3onic_ way we can.

## Display notebooks

[View Jupyter notebooks in nbviewer](http://nbviewer.jupyter.org/github/aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3/tree/master/)

## Contributing

If you want to contribute please, send your pull request to [this](https://github.com/pymc-devs/resources/tree/master/Rethinking). All contributions are welcome!

## Installing the dependencies

To install the dependencies to run these notebooks, you can use

[Anaconda](https://www.continuum.io/downloads). Once you have installed

Anaconda, run:

    conda env create -f environment.yml

to install all the dependencies into an isolated environment. You can switch to

this environment by running:

    source activate stat-rethink-pymc3

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Statistical Rethinking with Python and PyMC3 by All Contributors is licensed under a Creative Commons Attribution 4.0 International License.