contens
1. Introduction
2. Preliminaries
3. Learning Covariance Functions
4. Memory Efficient Prediction With
Truncated Observations
5. Fully Bayesian Approach
6. New Efficient Spatial Model with
Built-In Gaussian Markov Random Fields
7. Fully Bayesian Spatial Prediction
Using Gaussian Markov Random Fields