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Bayesian Methods for Hackers
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Table of Contents

  • Chapter 1: The Philosophy of Bayesian Inference
  • Chapter 2: A Little More on PyMC
  • Chapter 3: Opening the Black Box of MCMC
  • Chapter 4: The Greatest Theorem Never Told
  • Chapter 5: Would You Rather Lose an Arm or a Leg?
  • Chapter 6: Getting Our Priorities Straight
  • Chapter 7: Bayesian A/B Testing

About the Author

Cameron Davidson-Pilon has seen many fields of applied mathematics, from evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His main contributions to the open-source community include Bayesian Methods for Hackers and lifelines. Cameron was raised in Guelph, Ontario, but was educated at the University of Waterloo and Independent University of Moscow. He currently lives in Ottawa, Ontario, working with the online commerce leader Shopify.

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