Gaussian Processes provide good prior models for spatial data, but can be too smooth. In many physical situations there are discontinuities along bounding surfaces, for example fronts in near-surface wind fields. We describe a modelling method for such a constrained discontinuity and demonstrate how to infer the model parameters in wind fields with MCMC sampling.
|Place of Publication||Birmingham|
|Number of pages||7|
|Publication status||Published - 27 Nov 1998|
- Gaussian processes
- spatial data