Code for Multiple Discrete Variables

Python notebooks for all the computational examples about Multiple Discrete Variables from Chapter 4 of the book. See here for the full code repository.

  • Movie ratings. Joint probability mass function, marginal distribution, conditional distribution
  • Precipitation in Oregon (and Hawaii and Rhode Island). Joint probability mass function, marginal distribution, conditional distribution, independence, conditional independence
  • Curse of dimensionality.
  • Precipitation time series. Markov chains, stationarity
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  • Political affiliation. Naive Bayes, classification
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    • 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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