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

Handle URI:
http://hdl.handle.net/10754/597856
Title:
Control of modeling error in calibration and validation processes for predictive stochastic models
Authors:
Oden, J. Tinsley; Prudhomme, Serge
Abstract:
The idea of adaptive control of modeling error is expanded to include ideas of statistical calibration, validation, and uncertainty quantification. © 2010 John Wiley & Sons, Ltd.
Citation:
Oden JT, Prudhomme S (2010) Control of modeling error in calibration and validation processes for predictive stochastic models. Int J Numer Meth Engng 87: 262–272. Available: http://dx.doi.org/10.1002/nme.3038.
Publisher:
Wiley-Blackwell
Journal:
International Journal for Numerical Methods in Engineering
KAUST Grant Number:
US00003
Issue Date:
28-Sep-2010
DOI:
10.1002/nme.3038
Type:
Article
ISSN:
0029-5981
Sponsors:
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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorOden, J. Tinsleyen
dc.contributor.authorPrudhomme, Sergeen
dc.date.accessioned2016-02-25T12:57:52Zen
dc.date.available2016-02-25T12:57:52Zen
dc.date.issued2010-09-28en
dc.identifier.citationOden JT, Prudhomme S (2010) Control of modeling error in calibration and validation processes for predictive stochastic models. Int J Numer Meth Engng 87: 262–272. Available: http://dx.doi.org/10.1002/nme.3038.en
dc.identifier.issn0029-5981en
dc.identifier.doi10.1002/nme.3038en
dc.identifier.urihttp://hdl.handle.net/10754/597856en
dc.description.abstractThe idea of adaptive control of modeling error is expanded to include ideas of statistical calibration, validation, and uncertainty quantification. © 2010 John Wiley & Sons, Ltd.en
dc.description.sponsorshipWe 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.en
dc.publisherWiley-Blackwellen
dc.subjectAdaptive modelingen
dc.subjectBayesian approachesen
dc.subjectError estimationen
dc.subjectQuantities of interesten
dc.titleControl of modeling error in calibration and validation processes for predictive stochastic modelsen
dc.typeArticleen
dc.identifier.journalInternational Journal for Numerical Methods in Engineeringen
dc.contributor.institutionUniversity of Texas at Austin, Austin, United Statesen
kaust.grant.numberUS00003en
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