The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3

The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3

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Who am I

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The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3

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  1. 1 Introduction
  2. 2 Welcome
  3. 3 Who am I
  4. 4 Download Jupyter Notebook
  5. 5 Download Jupyter Container
  6. 6 Kibo
  7. 7 Kibo Careers
  8. 8 Motivation Examples
  9. 9 Invasion Statistics
  10. 10 Basketball Analytics
  11. 11 Drawing Fouls
  12. 12 Basketball
  13. 13 What is probabilistic programming
  14. 14 What is interesting about probabilistic programming
  15. 15 The Monte Carlo Problem
  16. 16 Using PyMC3
  17. 17 The Game Show
  18. 18 Adding Data
  19. 19 Question
  20. 20 New Bugs
  21. 21 Documentation
  22. 22 Case Study
  23. 23 Last 2 Minute Report
  24. 24 The Model
  25. 25 The Season Factor
  26. 26 Metropolis Hastings
  27. 27 Bayesian Inference
  28. 28 The Curse of Dimensionality
  29. 29 Hamiltonian Monte Carlo
  30. 30 How PyMC3 implements Hamiltonian Monte Carlo
  31. 31 No Uturn Sampler
  32. 32 Good Mixing
  33. 33 Foul Call Rate
  34. 34 Books
  35. 35 Stan
  36. 36 Thank you
  37. 37 Resources

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