Currently there are 3 notebooks in this repo.
This notebook provides an introduction to GPs and code to generate samples from GPs with different mean and covariance parameters. The notebook uses rise
to generate slides. Click on the binder link below to view slides.
This notebook illustrates the differences between the squared exponential and Matérn covariance functions.
Covariance Functions
This notebook provides the derivations of the predictions (interpolated values) from a Gaussian process fit.
Mathematical Derivations