Code for Discrete Variables

Python notebooks for all the computational examples about Discrete Variables from Chapter 2 of the book. See here for the full code repository.

  • Die rolls (real data). Empirical probability mass function Open in Colab
  • Fair die rolls. Empirical probability mass function Open in Colab
  • Durant’s free throw streaks. Nonparametric and parametric models, geometric distribution, maximum likelihood Open in Colab
  • Maximum likelihood estimation for simulated free throws. Parametric model, geometric distribution, maximum likelihood Open in Colab
  • Phone calls. Nonparametric and parametric models, Poisson distribution, maximum likelihood Open in Colab
  • Distribution of the empirical-probability estimator. Empirical probability, binomial distribution Open in Colab
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  • Code
    • Probability
    • Discrete Variables
    • Continuous Variables
    • Multiple Discrete Variables
    • Multiple Continuous Variables
    • Discrete and Continuous
    • Averaging
    • Correlation
    • Estimation of Population Parameters
    • Hypothesis Testing
    • PCA and Low-Rank Models
    • Regression and Classification
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