Control of modeling error in calibration and validation processes for predictive stochastic models

J. Tinsley Oden; Serge Prudhomme

doi:10.1002/nme.3038

Control of modeling error in calibration and validation processes for predictive stochastic models

J. Tinsley Oden^*, Serge Prudhomme

^*Corresponding author for this work

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

14 Scopus citations

Abstract

Original language	English (US)
Pages (from-to)	262-272
Number of pages	11
Journal	International Journal for Numerical Methods in Engineering
Volume	87
Issue number	1-5
DOIs	https://doi.org/10.1002/nme.3038
State	Published - Sep 28 2010
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): US00003
Acknowledgements: We have benefitted from numerous discussions with colleagues over recent years on the subjects of verification, validation, statistical inverse analysis, and uncertainty quantification. In particular, we thank Ivo Babuska, Omar Ghattas, Raul Tempone, Ernesto Prudencio, and Robert Moser for helping us develop our current but still developing understanding of those subjects. We also gratefully acknowledge support of our work under the DOE Multiscale Mathematics Contract DE-FG02-05ER25701, the DOE PSAAP Contract DE-FC52-08NA28615, and the KAUST Contract US00003, all with ICES.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1002/nme.3038

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title = "Control of modeling error in calibration and validation processes for predictive stochastic models",

abstract = "The idea of adaptive control of modeling error is expanded to include ideas of statistical calibration, validation, and uncertainty quantification. {\textcopyright} 2010 John Wiley & Sons, Ltd.",

author = "Oden, {J. Tinsley} and Serge Prudhomme",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): US00003 Acknowledgements: We have benefitted from numerous discussions with colleagues over recent years on the subjects of verification, validation, statistical inverse analysis, and uncertainty quantification. In particular, we thank Ivo Babuska, Omar Ghattas, Raul Tempone, Ernesto Prudencio, and Robert Moser for helping us develop our current but still developing understanding of those subjects. We also gratefully acknowledge support of our work under the DOE Multiscale Mathematics Contract DE-FG02-05ER25701, the DOE PSAAP Contract DE-FC52-08NA28615, and the KAUST Contract US00003, all with ICES. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2010",

month = sep,

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doi = "10.1002/nme.3038",

language = "English (US)",

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T1 - Control of modeling error in calibration and validation processes for predictive stochastic models

AU - Oden, J. Tinsley

AU - Prudhomme, Serge

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): US00003 Acknowledgements: We have benefitted from numerous discussions with colleagues over recent years on the subjects of verification, validation, statistical inverse analysis, and uncertainty quantification. In particular, we thank Ivo Babuska, Omar Ghattas, Raul Tempone, Ernesto Prudencio, and Robert Moser for helping us develop our current but still developing understanding of those subjects. We also gratefully acknowledge support of our work under the DOE Multiscale Mathematics Contract DE-FG02-05ER25701, the DOE PSAAP Contract DE-FC52-08NA28615, and the KAUST Contract US00003, all with ICES. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2010/9/28

Y1 - 2010/9/28

UR - http://hdl.handle.net/10754/597856

UR - http://doi.wiley.com/10.1002/nme.3038

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JF - International Journal for Numerical Methods in Engineering

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IS - 1-5

ER -

Control of modeling error in calibration and validation processes for predictive stochastic models

Abstract

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