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DBDA-python

I recently started looking into probabilistic modelling by reading 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan' by John Kruschke (2015). This repository contains Python code (PyMC3) for a selection of models and figures from the book. The datasets used in this repository have been retrieved from the book's website.

...work in process..

<IMG src="/deoxy?target=https%3A%2F%2Fgithub.com%2Fblithejack%2FDBDA-python%2Fblob%2Fmaster%2F%253Ca%2520href%3D"https://9b8e0032-a-62cb3a1a-s-sites.googlegroups.com/site/doingbayesiandataanalysis/what-s-new-in-2nd-ed/CoverDBDA2E-FrontOnly-600wide.png" rel="nofollow">https://9b8e0032-a-62cb3a1a-s-sites.googlegroups.com/site/doingbayesiandataanalysis/what-s-new-in-2nd-ed/CoverDBDA2E-FrontOnly-600wide.png' , height=30%, width=30%>

Chapter 9 - Hierarchical Models
Chapter 10 - Model Comparison and Hierarchical Modelling

Libraries used:

  • pymc3
  • pandas
  • numpy
  • scipy
  • matplotlib
  • seaborn

#####References: Kruschke, J.K., (2015). Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition, Academic Press / Elsevier https://sites.google.com/site/doingbayesiandataanalysis/