Probability Etudes in Common Lisp

Course overview

15 chapters
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The Book

Probability Etudes in Common Lisp15 chapters

Begin
  1. Preface

  2. Introduction

  3. Basic Probability

  4. Conditional Probability

  5. Discrete Random Variables

  6. Binomial and Geometric Distributions

  7. Continuous Distributions

  8. Law of Large Numbers

  9. Central Limit Theorem

  10. Monte Carlo Methods

  11. Bayesian Inference

  12. Markov Chains

  13. An Embedded Probabilistic Programming Language

  14. Wrapping Up

  15. Further Reading