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.
|Title of host publication||Advances in Neural Information Processing Systems|
|Publisher||Massachusetts Institute of Technology (MIT) Press|
|Number of pages||7|
|Publication status||Published - 1 Jan 1999|