Adding constrained discontinuities to Gaussian process models of wind fields

Dan Cornford; Ian T. Nabney; Christopher K I Williams

Adding constrained discontinuities to Gaussian process models of wind fields

Dan Cornford, Ian T. Nabney, Christopher K I Williams

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

10 Citations (Scopus)

11 Downloads (Pure)

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
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

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title = "Adding constrained discontinuities to Gaussian process models of wind fields",

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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N2 - 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.

AB - 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.

M3 - Chapter in a book

SN - 0262112450

VL - 11

SP - 861

EP - 867

BT - Advances in Neural Information Processing Systems

PB - Massachusetts Institute of Technology (MIT) Press

ER -

Adding constrained discontinuities to Gaussian process models of wind fields

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