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Resources

Books

• “Computer Age Statistical Inference: Algorithms, Evidence and Data Science”
  by Bradley Efron and Trevor Hastie”
  (home page)
• “Bayesian Data Analysis”
  by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin
  (home page)
• “Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan”, 2nd Edition
  by John Kruschke
  (home page) (Amazon)
• “Probabilistic Programming & Bayesian Methods for Hackers”
  by Cam Davidson-Pilon
  (home page)
• “An Introduction to Bayesian Thinking: A Companion to the Statistics with R Course”
  by Merlise Clyde, et al.
  (online book)

Probabilistic Programmimg APIs and Libraries

• PYMC3
  Allows you to write down models using an intuitive syntax to describe a data generating process
  (home page)
• TensorFlow Probability
  A library for probabilistic reasoning and statistical analysis
  (home page)

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