Supervised Estimation of Granger-Based Causality between Time Series

Supervised Estimation of Granger-Based Causality between Time Series

Brain effective connectivity aims to detect causal interactions between distinct brain units and it is typically studied through the analysis of direct measurements of the neural activity, e.g., magneto/electroencephalography (M/EEG) signals. The literature on methods for causal inference is vast. I...

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Bibliographic Details
Main Authors: Danilo Benozzo, Emanuele Olivetti, Paolo Avesani
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Neuroinformatics
Subjects:
causal inference
brain effective connectivity
Granger causality
machine learning
Geweke measure in time
causal interaction classification
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00068/full

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