Examples

An introduction to Geostat

In Geostat, we create one model that is used to create synthetic data according to provided parameters, and we create a second model that does the inverse: it takes the data and infers the parameters.

Structured covariance functions

Here we show how a progressively more complex covariance function fits data better than simpler ones.

Making predictions in a shape

Geostat has utility functions to make it easier to work with shapes.

Gaussian processes in Tensorflow

A tutorial on how to implement Gaussian processes in Tensorflow.