Comparison of Stochastic Methods for Bayesian Updating of Uncertainty in Parameters of Nonlinear Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00199619" target="_blank" >RIV/68407700:21110/12:00199619 - isvavai.cz</a>
Result on the web
<a href="http://www.siam.org/meetings/uq12/uq12_abstracts.pdf" target="_blank" >http://www.siam.org/meetings/uq12/uq12_abstracts.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Stochastic Methods for Bayesian Updating of Uncertainty in Parameters of Nonlinear Models
Original language description
An extensive development of efficient methods for stochastic modelling enabled uncertainty propagation through complex models. In this contribution, we present a review and comparison of several approaches such as stochastic Galerkin method or stochasticcollocation method in context of Bayesian uncertainty updating.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů