- Title
- Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (vol 399, 115320, 2022)
- Creators - without role
- Arved Bartuska - RWTH Aachen UniversityLuis Espath - University of NottinghamRaul Tempone - RWTH Aachen University
- Publication Details
- Computer methods in applied mechanics and engineering, Vol.410
- Publisher
- Elsevier
- Number of pages
- 6
- Grant note
- 333849990/GRK2379 / Flexible Interdisciplinary Research Collaboration Fund at the University of Nottingham Deutsche Forschungsgemeinschaft (DFG, German Research Foundation); German Research Foundation (DFG) Alexander von Humboldt Foundation, Germany; Alexander von Humboldt Foundation OSR-2019-CRG8-4033 / King Abdullah University of Science and Technol- ogy (KAUST) Office of Sponsored Research (OSR)
- Identifiers
- 9945306408331
- Academic Unit
- King Abdullah University of Science & Technology
- Language
- English
- Resource Type
- Journal article
Journal article
Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (vol 399, 115320, 2022)
Computer methods in applied mechanics and engineering, Vol.410
15/05/2023
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