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

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

8 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

Cite this

@inbook{3e7ec46274bf4b0095de1992b2a98ae7,

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.",

author = "Dan Cornford and Nabney, {Ian T.} and Williams, {Christopher K I}",

year = "1999",

month = jan,

day = "1",

language = "English",

isbn = "0262112450",

volume = "11",

pages = "861--867",

booktitle = "Advances in Neural Information Processing Systems",

publisher = "Massachusetts Institute of Technology (MIT) Press",

address = "United States",

}

TY - CHAP

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

AU - Cornford, Dan

AU - Nabney, Ian T.

AU - Williams, Christopher K I

PY - 1999/1/1

Y1 - 1999/1/1

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

Abstract

Fingerprint

Cite this