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Supervised Estimation of Granger-Based Causality between Time Series

Supervised Estimation of Granger-Based Causality between Time Series

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_df7b84317271439cb00d24f5784230f1

Supervised Estimation of Granger-Based Causality between Time Series

About this item

Full title

Supervised Estimation of Granger-Based Causality between Time Series

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in neuroinformatics, 2017-11, Vol.11, p.68-68

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

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. It includes model-based methods in which a generati...

Alternative Titles

Full title

Supervised Estimation of Granger-Based Causality between Time Series

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_df7b84317271439cb00d24f5784230f1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_df7b84317271439cb00d24f5784230f1

Other Identifiers

ISSN

1662-5196

E-ISSN

1662-5196

DOI

10.3389/fninf.2017.00068

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