Abstract
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.
Original language | English |
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Title of host publication | Advances in Neural Information Processing Systems |
Publisher | Massachusetts Institute of Technology (MIT) Press |
Pages | 861-867 |
Number of pages | 7 |
Volume | 11 |
ISBN (Print) | 0262112450 |
Publication status | Published - 1 Jan 1999 |