Detail publikace

Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

Originální název

Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

Anglický název

Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

Jazyk

en

Originální abstrakt

Time-varying estimation of multivariate autoregresive model based on Kalman filtering for more accurate evaluation of Granger causality in fMRI data.

Anglický abstrakt

Time-varying estimation of multivariate autoregresive model based on Kalman filtering for more accurate evaluation of Granger causality in fMRI data.

BibTex


@article{BUT48342,
  author="Martin {Havlíček} and Jiří {Jan} and Milan {Brázdil} and V.D. {Calhoun}",
  title="Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data",
  annote="Time-varying estimation of multivariate autoregresive model based on Kalman filtering for more accurate evaluation of Granger causality in fMRI data.",
  address="Elsevier Inc",
  chapter="48342",
  institution="Elsevier Inc",
  number="1",
  volume="53",
  year="2010",
  month="october",
  pages="65--77",
  publisher="Elsevier Inc",
  type="journal article - other"
}