A Bayesian analysis of the thermal challenge problem
Autor: | Maria J. Bayarri, F. Liu, James O. Berger, J Sacks, Rui Paulo |
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Rok vydání: | 2008 |
Předmět: |
Statement (computer science)
Stochastic process Computer science business.industry Mechanical Engineering Bayesian probability Computational Mechanics General Physics and Astronomy Unbiased Estimation Computer Science Applications symbols.namesake Mechanics of Materials symbols Artificial intelligence Representation (mathematics) business Gaussian process Simulation |
Zdroj: | Computer Methods in Applied Mechanics and Engineering. 197:2457-2466 |
ISSN: | 0045-7825 |
DOI: | 10.1016/j.cma.2007.05.032 |
Popis: | A major question for the application of computer models is Does the computer model adequately represent reality? Viewing the computer models as a potentially biased representation of reality, Bayarri et al. [M. Bayarri, J. Berger, R. Paulo, J. Sacks, J. Cafeo, J. Cavendish, C. Lin, J. Tu, A framework for validation of computer models, Technometrics 49 (2) (2007) 138–154] develop the simulator assessment and validation engine ( SAVE ) method as a general framework for answering this question. In this paper, we apply the SAVE method to the challenge problem which involves a thermal computer model designed for certain devices. We develop a statement of confidence that the devices modeled can be applied in intended situations. |
Databáze: | OpenAIRE |
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