Uncertainty quantification of numerical experiments: Several issues in industrial applications
57 mins 46 secs,
105.66 MB,
MP3
44100 Hz,
249.73 kbits/sec
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About this item
| Description: |
Iooss, B (Electricté de France, Université Paul Sabatier Toulouse III)
Monday 8th January 2018 - 14:00 to 15:00 |
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| Created: | 2018-01-10 16:12 |
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| Collection: | Uncertainty quantification for complex systems: theory and methodologies |
| Publisher: | Isaac Newton Institute |
| Copyright: | Iooss, B |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | In this talk, I will present some recent works of EDF R&D about the uncertainty management of cpu-expensive computer codes (also called numerical models). I will focus on the following topics: visualization tools in uncertainty and sensitivity analysis, functional risk curve estimation via a metamodel-based methodology, sensitivity analysis with dependent inputs using Shapley effects and robustness analysis of quantile estimation by the way of a recent technique based on perturbation of inputs' probability distributions. |
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