This repository contains Python code (PyMC3) for a selection of models and figures from the book 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan' by John Kruschke (2015). The datasets used in this repository have been retrieved from the book's website. Note that, in its current form, this repository is not a tutorial and that you probably should have a copy of the book to follow along. Suggestions for improvement and help with unsolved issues are welcome!
...work in process..
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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/