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  • The paper presents a scheme for estimation of spatio-temporal evolution of a quantity with unknown model error. Model error is estimated on basis of measured-minus-observed residuals evaluated upon measured and modeled values. Methods of Bayesian filtering are applied to the problem. The main contribution of this paper is application of general marginalized particle filter algorithm to the linear-Gaussian problem with unknown model error covariance structure. Methodology is demonstrated on the problem of modeling of spatio-temporal evolution of groundshine-dose from radionuclides deposited on terrain in long-time horizon.
  • The paper presents a scheme for estimation of spatio-temporal evolution of a quantity with unknown model error. Model error is estimated on basis of measured-minus-observed residuals evaluated upon measured and modeled values. Methods of Bayesian filtering are applied to the problem. The main contribution of this paper is application of general marginalized particle filter algorithm to the linear-Gaussian problem with unknown model error covariance structure. Methodology is demonstrated on the problem of modeling of spatio-temporal evolution of groundshine-dose from radionuclides deposited on terrain in long-time horizon. (en)
  • Příspěvek se zabývá asimilací časového vývoje prostorově rozložené veličiny s měřeními. Pokud je řešený problém chápán jako lineární s gaussovským rozdělením šumu, může být za předpokladu znalosti kovarianční struktury chyb modelu a měření řešen Kalmanovým filtrem. Pokud kovarianční strukturu chyb modelu neznáme, musí být nejprve odhadnuta. V příspěvku je popsána metodika aplikace marginalizovaného particle filtru na lineárně-Gaussovské problémy s neznámou kovarianční strukturou, která je odhadována pomocí sekvenčních M-C metod. Metodika je prezentována na odhadu vývoje dávky z depozice radionuklidů na terénu. (cs)
Title
  • Application of marginalized particle filter to linear-Gaussian problems with unknown model error covariance structure
  • Application of marginalized particle filter to linear-Gaussian problems with unknown model error covariance structure (en)
  • Odhadování chyby modelu na základá měření (cs)
skos:prefLabel
  • Application of marginalized particle filter to linear-Gaussian problems with unknown model error covariance structure
  • Application of marginalized particle filter to linear-Gaussian problems with unknown model error covariance structure (en)
  • Odhadování chyby modelu na základá měření (cs)
skos:notation
  • RIV/68407700:21340/08:04150780!RIV09-MSM-21340___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770039)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 356754
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21340/08:04150780
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data assimilation; marginalized particle filter; model error; reactor accident (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [81204A11C59E]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Doktorandské dny 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hofman, Radek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Česká technika - nakladatelství ČVUT
https://schema.org/isbn
  • 978-80-01-04195-6
http://localhost/t...ganizacniJednotka
  • 21340
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