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Titlebook: Handbook of Uncertainty Quantification; Roger Ghanem,David Higdon,Houman Owhadi Reference work 2017 Springer International Publishing Swit

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发表于 2025-3-21 18:45:58 | 显示全部楼层 |阅读模式
书目名称Handbook of Uncertainty Quantification
编辑Roger Ghanem,David Higdon,Houman Owhadi
视频video
概述Shares cutting edge Uncertainty Quantification ideas with a wide audience.Overviews fundamental challenges, applications, and emerging results.Draws together the work of mathematicians, statisticians,
图书封面Titlebook: Handbook of Uncertainty Quantification;  Roger Ghanem,David Higdon,Houman Owhadi Reference work 2017 Springer International Publishing Swit
描述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.      
出版日期Reference work 2017
关键词Polynomial Chaos; Risk Analysis; Risk Models; Sensitivity Analysis; Uncertainty Quantification
版次1
doihttps://doi.org/10.1007/978-3-319-12385-1
isbn_ebook978-3-319-12385-1
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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Multi-response Approach to Improving Identifiability in Model Calibrations, in order to address the issue of how to select the most appropriate set of responses to measure experimentally to best enhance identifiability, a preposterior analysis approach is presented to predict the degree of identifiability that will result from using different sets of responses to measure
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Validation of Physical Models in the Presence of Uncertainty outputs and data, a Bayesian probabilistic perspective is adopted in which the problem of assessing the consistency of the model and the observations becomes one of Bayesian model checking. A broadly applicable approach to Bayesian model checking for physical models is described. For validating ext
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Polynomial Chaos: Modeling, Estimation, and Approximationt underscores their relevance to problems of constructing and estimating probabilistic models, propagating them through arbitrarily complex computational representations of underlying physical mechanisms, and updating the models and their predictions as additional constraints become known.
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Bayesian Uncertainty Propagation Using Gaussian Processesying response surface, such as the treatment of spatiotemporal variation, and multi-output responses are discussed. The practicality of the approach is demonstrated by propagating uncertainty through a dynamical system and an elliptic partial differential equation.
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