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 Open in Colab
  • Precipitation in Oregon (and Hawaii and Rhode Island). Joint probability mass function, marginal distribution, conditional distribution, independence, conditional independence Open in Colab
  • Curse of dimensionality. Open in Colab
  • Precipitation time series. Markov chains, stationarity Open in Colab
  • Car rental. Time-homogeneous Markov chains, stationary distribution Open in Colab
  • Political affiliation. Naive Bayes, classification Open in Colab
  • Buy the book!
  • Home
  • Preprint
  • Videos
    • 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
    • Causal Inference
  • 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
  • Solutions

Design: HTML5 UP.