Adding constrained discontinuities to Gaussian process models of wind fields

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Adding constrained discontinuities to Gaussian process models of wind fields

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Authors

Dan Cornford
Ian T. NabneyORCiD: http://orcid.org/0000-0003-1513-993X
Christopher K. I. Williams
Michael S. Kearns (Editor)
Sara A. Solla (Editor)
David A. Cohn (Editor)

Research units

Computer Science Research Group

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.

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Rights statement: Copyright of the Massachusetts Institute of Technology Press (MIT Press) Available also on Google Books
Final published version, 838 KB, PDF-document

Details

Original language	English
Pages (from-to)	861-867
Number of pages	7
Journal	Advances in Neural Information Processing Systems
Volume	11
Publication status	Published - 1999
Event	Advances in Neural Information Processing Systems 1999 - Dublin, Ireland Duration: 3 Aug 1999 → 6 Aug 1999

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Keywords

Gaussian processes, spatial data, discontinuities, near-surface

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