Code for Continuous Variables

Python notebooks for all the computational examples about Continuous Variables from Chapter 3 of the book. See here for the full code repository.

  • Height. Cumulative distribution function, quantiles, probability density function, histogram, kernel density estimation, box plot, Gaussian distribution, maximum likelihood estimation, parametric and nonparametric models
  • Gross domestic product. Cumulative distribution function, quantiles, probability density function, histogram, kernel density estimation, box plot
  • Temperatures in Oxford. Box plot, quartiles
  • Interarrival times of phone calls. Kernel density estimation, nonparametric and parametric models, exponential distribution, maximum likelihood
  • Simulating an exponential. Inverse transform sampling
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  • Code
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    • 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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