Bayesian Data Analysis Python Demos

to interactively run the IPython Notebooks in the browser.

This repository contains some Python demos for the book Bayesian Data Analysis, 3rd ed by Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin (BDA3).

Currently there are demos for BDA3 Chapters 2, 3, 4, 5, 6, 10 and 11. Furthermore, PyStan is also demoed.

Demos are in jupyter notebook (.ipynb) format. These can be directly previewed in github without need to install or run anything.

Corresponding demos were originally written for Matlab/Octave by Aki Vehtari. There are also corresponding R demos.

Requirements

• python 3
• ipython
• numpy
• scipy
• matplotlib 2
• pandas (for some demos)
• pystan (for some demos)