Keep reading

  • The PyMC3 documentation; be sure to check the examples section: https://pymc-devs.github.io/pymc3/.
  • Probabilistic Programming and Bayesian Methods for Hackers by Cameron Davidson-Pilon and several contributors. This book/notebooks were originally written using PyMC2 and now have been ported to PyMC3: https://github.com/quantopian/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers.
  • While My MCMC Gently Samples, a blog from Thomas Wiecki, core developer of PyMC3: http://twiecki.github.io/.
  • Statistical Rethinking by Richard McElreath is a very nice introductory book about Bayesian Analysis; the problem is that the examples are in R/Stan. Hence I am porting the examples in the book to Python/PyMC3. Check the GitHub repository at ...

Get Bayesian Analysis with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.