Many of the problems we work with at Los Alamos National Laboratory are similar to the thermal problem described in the tasking document. In this paper, we describe the tools and methods we have developed that utilize experimental data and detailed physics simulations for uncertainty quantification,
A Bayesian analysis of the thermal challenge problem
โ Scribed by F. Liu; M.J. Bayarri; J.O. Berger; R. Paulo; J. Sacks
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 226 KB
- Volume
- 197
- Category
- Article
- ISSN
- 0045-7825
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โฆ Synopsis
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.
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