Welcome to the Gaussian Process pages (original) (raw)
the Gaussian Process web site
This web site aims to provide an overview of resources concerned with probabilistic modeling, inference and learning based on Gaussian processes.
The Gaussian Process page.
Books
- Carl Edward Rasmussen and Chris Williams: Gaussian Processes for Machine Learning, the MIT Press, 2006, online
- Juš Kocijan: Modelling and Control of Dynamic Systems Using Gaussian Process Models, Springer, 2015
- Michael L. Stein: Interpolation of Spatial Data: Some Theory for Kriging, Springer, 1999, online
- Grace Wahba: Spline Models for Observational Data, SIAM, 1990