This repository contains Python code 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).

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Chapter 9 - Hierarchical Models

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/