Adding constrained discontinuities to Gaussian process models of wind fields

Dan Cornford; Ian T. Nabney; Christopher K. I. Williams; Michael S. Kearns; Sara A. Solla; David A. Cohn

Adding constrained discontinuities to Gaussian process models of wind fields

Dan Cornford
, Ian T. Nabney
, Christopher K. I. Williams
, Michael S. Kearns (Editor)
, Sara A. Solla (Editor)
, David A. Cohn (Editor)

Computer Science Research Group

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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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
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

Bibliographical note

Copyright of the Massachusetts Institute of Technology Press (MIT Press) Available also on Google Books

Keywords

Gaussian processes
spatial data
discontinuities
near-surface

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Cite this

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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.",

keywords = "Gaussian processes, spatial data, discontinuities, near-surface",

author = "Dan Cornford and Nabney, \{Ian T.\} and Williams, \{Christopher K. I.\} and Kearns, \{Michael S.\} and Solla, \{Sara A.\} and Cohn, \{David A.\}",

note = "Copyright of the Massachusetts Institute of Technology Press (MIT Press) Available also on Google Books; Advances in Neural Information Processing Systems 1999 ; Conference date: 03-08-1999 Through 06-08-1999",

year = "1999",

language = "English",

volume = "11",

pages = "861--867",

journal = "Advances in Neural Information Processing Systems",

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T1 - Adding constrained discontinuities to Gaussian process models of wind fields

AU - Cornford, Dan

AU - Nabney, Ian T.

AU - Williams, Christopher K. I.

A2 - Kearns, Michael S.

A2 - Solla, Sara A.

A2 - Cohn, David A.

N1 - Copyright of the Massachusetts Institute of Technology Press (MIT Press) Available also on Google Books

PY - 1999

Y1 - 1999

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.

KW - Gaussian processes

KW - spatial data

KW - discontinuities

KW - near-surface

UR - http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=4746

M3 - Article

SN - 1049-5258

VL - 11

SP - 861

EP - 867

JO - Advances in Neural Information Processing Systems

JF - Advances in Neural Information Processing Systems

T2 - Advances in Neural Information Processing Systems 1999

Y2 - 3 August 1999 through 6 August 1999

ER -

Adding constrained discontinuities to Gaussian process models of wind fields

Abstract

Bibliographical note

Keywords

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