Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The mission of this chapter is to enhance the theoretical interpretability of the available frequency domain measures of coupling and causality derived from the MVAR representation of multiple time series.
Original languageEnglish
Title of host publicationBiomedical Engineering, Trends in Electronics, Communications and Software
Pages-
Number of pages26
Publication statusPublished - 2011

Fingerprint

frequency analysis
causality
multivariate analysis
time series
interaction

Cite this

Faes, L. (2011). Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series. In Biomedical Engineering, Trends in Electronics, Communications and Software (pp. -)

Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series. / Faes, Luca.

Biomedical Engineering, Trends in Electronics, Communications and Software. 2011. p. -.

Research output: Chapter in Book/Report/Conference proceedingChapter

Faes, L 2011, Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series. in Biomedical Engineering, Trends in Electronics, Communications and Software. pp. -.
Faes L. Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series. In Biomedical Engineering, Trends in Electronics, Communications and Software. 2011. p. -
Faes, Luca. / Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series. Biomedical Engineering, Trends in Electronics, Communications and Software. 2011. pp. -
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