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Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs

Bayesian MCMC calibration and uncertainty analysis for computationally expensive models is implemented using the SOARS (Statistical and Optimization Analysis using Response Surfaces) methodology. SOARS uses a radial basis function interpolator as a surrogate, also known as an emulator or meta-model,...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:J Agric Biol Environ Stat
Prif Awduron: Ruppert, David, Shoemaker, Christine A., Wang, Yilun, Li, Yingxing, Bliznyuk, Nikolay
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2012
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC5983902/
https://ncbi.nlm.nih.gov/pubmed/29861620
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13253-012-0091-0
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