https://github.com/avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python
https://github.com/avehtari/BDA_py_demos

bayesian bayesian-data-analysis bayesian-inference mcmc python stan

Last synced: 3 months ago
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Bayesian Data Analysis demos for Python

• Host: GitHub
• URL: https://github.com/avehtari/BDA_py_demos
• Owner: avehtari
• License: gpl-3.0
• Created: 2015-03-04T15:50:19.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-09-11T14:25:43.000Z (10 months ago)
• Last Synced: 2023-11-07T22:47:54.006Z (8 months ago)
• Topics: bayesian, bayesian-data-analysis, bayesian-inference, mcmc, python, stan
• Language: Jupyter Notebook
• Homepage: https://avehtari.github.io/BDA_course_Aalto/demos.html#BDA_Python_demos
• Size: 12.2 MB
• Stars: 960
• Watchers: 57
• Forks: 297
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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• my-awesome-stars - avehtari/BDA_py_demos - Bayesian Data Analysis demos for Python (Jupyter Notebook)

README

        
# Bayesian Data Analysis Python Demos

[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/avehtari/bda_py_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)](http://www.stat.columbia.edu/~gelman/book/). See also [Bayesian Data Analysis course material](https://github.com/avehtari/BDA_course_Aalto).

Currently there are demos for BDA3 Chapters 2, 3, 4, 5, 6, 10 and 11. Furthermore, [PyStan](https://github.com/stan-dev/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](https://github.com/avehtari/BDA_m_demos) by [Aki Vehtari](http://users.aalto.fi/~ave/) and translated to Python by Tuomas Sivula. Some improvements were contributed by Pellervo Ruponen and Lassi Meronen. There are also corresponding [R demos](https://github.com/avehtari/BDA_R_demos).

## Requirements

- python 3

- ipython

- numpy

- scipy

- matplotlib 2

- pandas (for some demos)

- pystan (for some demos)

- ArviZ (for some demos)