Conditional Gaussian: A Slice of the Bell
An interactive live film: a wall at Y = y cuts the bell of a 2D Gaussian in 3D; the cut is the Gaussian of X given y, its peak riding the regression line while its width stays fixed; the reader slides the wall and changes the correlation.
Narration
Two jointly normal variables, X and Y, have this bell shaped density over the plane. Their correlation tilts the bell along the diagonal.
Now condition on Y equal to y. Stand a wall at that value, and cut the bell. The cut, in pink, is the shape of X given Y equals y.
The rest of the narration is in the book's Companion.
More from Chapter 13
Interactive1:35Normalizing Flows: Chaining Invertible MapsChapter 13
Preview1:38Independence as an Outer ProductChapter 13
Preview1:22Random Fourier FeaturesChapter 13
Preview1:46Change of Variables: Same Probability, Different AreaChapter 13
Preview1:35The von Mises-Fisher Distribution: A Gaussian for DirectionsChapter 13
Preview1:42The Dirichlet Distribution: A Density on the SimplexChapter 13
Preview1:14Gaussian Mixture Model: Multimodal TerrainChapter 13
Preview1:41Whitening: PCA and ZCAChapter 13
Preview1:36Beta and Bernoulli: Updating with Pseudo-CountsChapter 13
Preview1:43ROC Curve and AUC: the Mass Above the DiagonalChapter 13
Preview1:40Hoeffding's Inequality: How Fast a Sample Mean SettlesChapter 13
Preview1:25Temperature Scaling: Calibrating a SoftmaxChapter 13
Preview1:34Mahalanobis Distance: The Ellipsoids of a GaussianChapter 13
Preview2:09Random Directions Are Nearly OrthogonalChapter 13