Measuring frequency domain Granger causality for multiple blocks of interacting time series
type: Item
instance of: scholarly article
title: Measuring frequency domain Granger causality for multiple blocks of interacting time series
zbMATH Open document ID: 1267.92022
author: Luca Faes
author: Giandomenico Nollo
published in: Biological Cybernetics
publication date: 2013-07-16T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 92-08
zbMATH DE Number: 6188579
zbMATH Keywords: block-based connectivity analysis
zbMATH Keywords: directed coherence
zbMATH Keywords: vector autoregressive (VAR) models
zbMATH Keywords: neurophysiological time series
zbMATH Keywords: partial directed coherence
describes a project that uses: TETRAD
MaRDI profile type: Publication
full work available at URL: s00422-013-0547-5
OpenAlex ID: W2094195939
Wikidata QID: Q44709209
cites work: Partial directed coherence: a new concept in neural structure determination
cites work: Vector Autoregressions and Causality
cites work: Q4405832
cites work: Testing Causality Between Two Vectors in Multivariate Autoregressive Moving Average Models
cites work: On the evaluation of information flow in multivariate systems by the directed transfer function
cites work: Granger causality and path diagrams for multivariate time series
cites work: Extended causal modeling to assess partial directed coherence in multiple time series with significant instantaneous interactions
cites work: Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis
cites work: Representations of jointly stationary stochastic feedback processes†
cites work: Measurement of Linear Dependence and Feedback Between Multiple Time Series
cites work: Measures of Conditional Linear Dependence and Feedback Between Time Series
cites work: Quantitative analysis of directional strengths in jointly stationary linear multivariate processes
cites work: Investigating Causal Relations by Econometric Models and Cross-spectral Methods
cites work: Estimation of a structural vector autoregression model using non-Gaussianity
cites work: A new method of the description of the information flow in the brain structures
cites work: Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
cites work: Q5312885
cites work: Q3226765
cites work: Block coherence: a method for measuring the interdependence between two blocks of neurobiological time series
cites work: Causation, prediction, and search
cites work: Information theoretic interpretation of frequency domain connectivity measures
cites work: Granger-causality in multiple time series
cites work: Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems
DOI: 10.1007/S00422-013-0547-5
description: scientific article; zbMATH DE number 6188579