Code for Multiple Continuous Variables

Python notebooks for all the computational examples about Multiple Continuous Variables from Chapter 5 of the book. See here for the full code repository.

  • Temperature in Manhattan and Versailles. Joint probability density function, marginal distribution, conditional distribution Open in Colab
  • More temperature data. Joint probability density function, marginal distribution, conditional distribution, conditional independence Open in Colab
  • Anthropometric data. Joint probability density function, kernel density estimation, Gaussian random vectors, maximum likelihood, parametric and nonparametric models Open in Colab
  • 2D kernel density estimation. Open in Colab
  • Movie duration and earnings. Joint probability density function, conditional pdf, independence Open in Colab
  • Conditional distribution of Gaussian random variables. Open in Colab
  • Eigendecomposition analysis of multivariate Gaussian distribution. Open in Colab
  • Exotic fruit. Gaussian random vectors Open in Colab
  • Simulating a lake. Inverse-transform sampling, dependence between random variables Open in Colab
  • Simulating a triangle. Open in Colab
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