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Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat
Here we dispel the lingering myth that Partial Directed Coherence is a Vector Autoregressive (VAR) Modelling dependent concept. In fact, our examples show that it is spectral factorization that lies at its heart, for which VAR modelling is a mere, albeit very efficient and convenient, device. This a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012995/ https://www.ncbi.nlm.nih.gov/pubmed/36926097 http://dx.doi.org/10.3389/fnetp.2022.845327 |
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author | Baccalá, Luiz A. Sameshima, Koichi |
author_facet | Baccalá, Luiz A. Sameshima, Koichi |
author_sort | Baccalá, Luiz A. |
collection | PubMed |
description | Here we dispel the lingering myth that Partial Directed Coherence is a Vector Autoregressive (VAR) Modelling dependent concept. In fact, our examples show that it is spectral factorization that lies at its heart, for which VAR modelling is a mere, albeit very efficient and convenient, device. This applies to Granger Causality estimation procedures in general and also includes instantaneous Granger effects. Care, however, must be exercised for connectivity between multivariate data generated through nonminimum phase mechanisms as it may possibly be incorrectly captured. |
format | Online Article Text |
id | pubmed-10012995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100129952023-03-15 Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat Baccalá, Luiz A. Sameshima, Koichi Front Netw Physiol Network Physiology Here we dispel the lingering myth that Partial Directed Coherence is a Vector Autoregressive (VAR) Modelling dependent concept. In fact, our examples show that it is spectral factorization that lies at its heart, for which VAR modelling is a mere, albeit very efficient and convenient, device. This applies to Granger Causality estimation procedures in general and also includes instantaneous Granger effects. Care, however, must be exercised for connectivity between multivariate data generated through nonminimum phase mechanisms as it may possibly be incorrectly captured. Frontiers Media S.A. 2022-04-28 /pmc/articles/PMC10012995/ /pubmed/36926097 http://dx.doi.org/10.3389/fnetp.2022.845327 Text en Copyright © 2022 Baccalá and Sameshima. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Network Physiology Baccalá, Luiz A. Sameshima, Koichi Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat |
title | Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat |
title_full | Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat |
title_fullStr | Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat |
title_full_unstemmed | Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat |
title_short | Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat |
title_sort | partial directed coherence and the vector autoregressive modelling myth and a caveat |
topic | Network Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012995/ https://www.ncbi.nlm.nih.gov/pubmed/36926097 http://dx.doi.org/10.3389/fnetp.2022.845327 |
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