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Description
  • Je ukázána konstrukce apriorní informace pro bayesovskou identifikaci lineárního regresního modelu s normálním šumem a malým počtem dat. Model přestavuje průběh aktivity štítné žlázy po terapeutické aplikaci 131I pacientům s karcinomem štítné žlázy. Pro apriorní informaci je použito omezení definičního oboru parametrů a teorie sdílení znalostí mezi agenty. Apriorní informace zlepšuje predikční schopnost modelu a snižuje dolní hranici pro minimální počet dat, s nimiž lze identifikaci provést. (cs)
  • Construction of prior information for Bayes identificationof linear regression model with normal noise and lack of data is presented. The model discrabes accumulation of activity in thyroid gland after administration of 131I to patients with thyroid cancer. One way of prior information is a restriction of parameters support. Second way uses theory of information merging between agents. Prior information improves prediction ability of the model and decreases lower bound for sufficient amount of data.
  • Construction of prior information for Bayes identificationof linear regression model with normal noise and lack of data is presented. The model discrabes accumulation of activity in thyroid gland after administration of 131I to patients with thyroid cancer. One way of prior information is a restriction of parameters support. Second way uses theory of information merging between agents. Prior information improves prediction ability of the model and decreases lower bound for sufficient amount of data. (en)
Title
  • Prior information in Bayesian identification of a linear regression model
  • Prior information in Bayesian identification of a linear regression model (en)
  • Apriorní informace v bayesovké identifikaci lineárního regresního modelu (cs)
skos:prefLabel
  • Prior information in Bayesian identification of a linear regression model
  • Prior information in Bayesian identification of a linear regression model (en)
  • Apriorní informace v bayesovké identifikaci lineárního regresního modelu (cs)
skos:notation
  • RIV/67985556:_____/05:00026443!RIV06-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 1;6
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100750404), P(1M0572), Z(AV0Z10750506)
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
  • 538500
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/05:00026443
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • fictiticous data; information matrix; Gauss-inverse-Wishart; MCMC (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FE65C59882FA]
http://linked.open...v/mistoKonaniAkce
  • Izola
http://linked.open...i/riv/mistoVydani
  • Ljubljana
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 6th International PhD Workshop in Systems and Control, Young Generation Viewpoint
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kárný, Miroslav
  • Varga, F.
  • Jirsa, Ladislav
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
  • Jozef Stefan Institute
https://schema.org/isbn
  • 961-6303-74-0
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