Empirical Bayes Python

Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes.

This is mostly a work in progress (and one that I might not get around to completing).

Requirements

I really enjoyed the book, but haven't used R in several years. In order to take these approaches at work, I'd need to translate them to Python.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.gitignore		.gitignore
README.md		README.md
chapter_02.ipynb		chapter_02.ipynb
chapter_03.ipynb		chapter_03.ipynb
chapter_04.ipynb		chapter_04.ipynb
chapter_05.ipynb		chapter_05.ipynb
chapter_06.ipynb		chapter_06.ipynb
chapter_07.ipynb		chapter_07.ipynb
requirements.txt		requirements.txt