Parameter identification in a probabilistic setting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00202999" target="_blank" >RIV/68407700:21110/13:00202999 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.engstruct.2012.12.029" target="_blank" >http://dx.doi.org/10.1016/j.engstruct.2012.12.029</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.engstruct.2012.12.029" target="_blank" >10.1016/j.engstruct.2012.12.029</a>

Result language
angličtina
Original language name
Parameter identification in a probabilistic setting
Original language description
The parameters to be identified are described as random variables, the randomness reflecting the uncertainty about the true values, allowing the incorporation of new information through Bayes?s theorem. Such a description has two constituents, the measurable function or random variable, and the probability measure. One group of methods updates the measure, the other group changes the function. We connect both with methods of spectral representation of stochastic problems, and introduce a computational procedure without any sampling which works completely deterministically, and is fast and reliable. Some examples we show have highly nonlinear and non-smooth behaviour and use non-Gaussian measures.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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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)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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