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Handbook of uncertainty quantification
The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessm...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-11259-6 http://cds.cern.ch/record/2681692 |
_version_ | 1780963044020453376 |
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author | Ghanem, Roger Higdon, David Owhadi, Houman |
author_facet | Ghanem, Roger Higdon, David Owhadi, Houman |
author_sort | Ghanem, Roger |
collection | CERN |
description | The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution. |
id | cern-2681692 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Springer |
record_format | invenio |
spelling | cern-26816922021-04-21T18:22:53Zdoi:10.1007/978-3-319-11259-6http://cds.cern.ch/record/2681692engGhanem, RogerHigdon, DavidOwhadi, HoumanHandbook of uncertainty quantificationMathematical Physics and MathematicsThe topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.Springeroai:cds.cern.ch:26816922019 |
spellingShingle | Mathematical Physics and Mathematics Ghanem, Roger Higdon, David Owhadi, Houman Handbook of uncertainty quantification |
title | Handbook of uncertainty quantification |
title_full | Handbook of uncertainty quantification |
title_fullStr | Handbook of uncertainty quantification |
title_full_unstemmed | Handbook of uncertainty quantification |
title_short | Handbook of uncertainty quantification |
title_sort | handbook of uncertainty quantification |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-11259-6 http://cds.cern.ch/record/2681692 |
work_keys_str_mv | AT ghanemroger handbookofuncertaintyquantification AT higdondavid handbookofuncertaintyquantification AT owhadihouman handbookofuncertaintyquantification |