Bayesian Viewpoint

Intro

Aims

• Probabilistic
• Flexibility
• Spatially Variable
• Deal with uncertainty

The Model

The Computational Approach

Basic Example

• The data

Robust Examples

• Laplace
• t (parameter k measures outlier-proneness)

Simple

Other Distributions

Spatial

Dealing With Uncertainty

Conclusions