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.
|Number of pages||7|
|Journal||Advances in Neural Information Processing Systems|
|Publication status||Published - 1999|
|Event||Advances in Neural Information Processing Systems 1999 - Dublin, Ireland|
Duration: 3 Aug 1999 → 6 Aug 1999
Bibliographical noteCopyright of the Massachusetts Institute of Technology Press (MIT Press) Available also on Google Books
- Gaussian processes
- spatial data
Cornford, D., Nabney, I. T., Williams, C. K. I., Kearns, M. S. (Ed.), Solla, S. A. (Ed.), & Cohn, D. A. (Ed.) (1999). Adding constrained discontinuities to Gaussian process models of wind fields. Advances in Neural Information Processing Systems, 11, 861-867.