Cookbook: pySIP by example

This cookbook contains a collection of examples that demonstrate how to use pySIP. It contains for now complete examples, but topic-oriented examples will be added in the future.

Cookbook contents:

• Gausian Process Regression with Covariance Product and Sum
  • Load and prepare the Mauna Loa CO2 data set
  • Initialize parameters and models
  • Initialize the regressor
  • Do the frequentist fit
• Matern regression model
• Periodic regression model
• Armadillo real world example - Bayesian fit
• Armadillo real world example - Frequentist fit