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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,...
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| Publicado no: | J Agric Biol Environ Stat |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | 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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