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

Conformist

書目名稱Handbook of Uncertainty Quantification影響因子(影響力)




書目名稱Handbook of Uncertainty Quantification影響因子(影響力)學(xué)科排名




書目名稱Handbook of Uncertainty Quantification網(wǎng)絡(luò)公開度




書目名稱Handbook of Uncertainty Quantification網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Handbook of Uncertainty Quantification被引頻次




書目名稱Handbook of Uncertainty Quantification被引頻次學(xué)科排名




書目名稱Handbook of Uncertainty Quantification年度引用




書目名稱Handbook of Uncertainty Quantification年度引用學(xué)科排名




書目名稱Handbook of Uncertainty Quantification讀者反饋




書目名稱Handbook of Uncertainty Quantification讀者反饋學(xué)科排名

groggy

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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多山

紅潤

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環(huán)形

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.

尖叫

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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