Surrogate models for uncertainty quantification in the context of imprecise probability modelling

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Author
Date
2017Type
- Doctoral Thesis
ETH Bibliography
yes
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https://doi.org/10.3929/ethz-a-010870825Publication status
publishedExternal links
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Publisher
ETH ZürichSubject
SELTENE EREIGNISSE (WAHRSCHEINLICHKEITSRECHNUNG); ZUVERLÄSSIGKEIT (STOCHASTISCHE MODELLE); RELIABILITY (STOCHASTIC MODELS); FEHLERMODELLE (WAHRSCHEINLICHKEITSRECHNUNG); INCOMPLETE DATA AND MISSING DATA (MATHEMATICAL STATISTICS); UNVOLLSTÄNDIGE DATEN UND FEHLENDE DATEN (MATHEMATISCHE STATISTIK); ERROR MODELS (PROBABILITY THEORY); COMPUTERSIMULATION; RARE EVENTS (PROBABILITY THEORY); COMPUTER SIMULATIONOrganisational unit
02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.03962 - Sudret, Bruno / Sudret, Bruno
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ETH Bibliography
yes
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