Publication detail

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

HAVLÍČEK, M. JAN, J. BRÁZDIL, M. CALHOUN, V.

Original Title

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

Czech Title

Dynamická Grangerova kauzalita založená na Kalmanově filtru pro vyhodnocení konektivity funkčních sítí v fMRI datech

English Title

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

Type

journal article

Language

en

Original Abstract

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

Czech abstract

Časově variantní odhad více rozměrného autoregresního modelu pomoci Kalmanova filtru pro přesnější vyhodnocení Grangerovy kauzality v fMRI datech.

English abstract

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

Keywords

Granger causality, Kalman filtering, nonstationary

RIV year

2010

Released

15.10.2010

Publisher

Elsevier Inc

Location

USA

Pages from

65

Pages to

77

Pages count

13

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"
}