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


Author / Producer

Date

2017

Publication Type

Doctoral Thesis

ETH Bibliography

yes

Citations

Altmetric

Data

Publication status

published

Editor

Contributors

Examiner : Beer, Michael
Examiner: Sudret, Bruno

Book title

Journal / series

Volume

Pages / Article No.

Publisher

ETH Zürich

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

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 SIMULATION

Organisational unit

03962 - Sudret, Bruno / Sudret, Bruno check_circle
02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.

Notes

Funding

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