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 11 (NIPS 1998) |
Pages | 861-867 |
Number of pages | 7 |
Publication status | Published - 1998 |