Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Baccalá, Luiz A., Sameshima, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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
_version_ 1784906723532734464
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
work_keys_str_mv AT baccalaluiza partialdirectedcoherenceandthevectorautoregressivemodellingmythandacaveat
AT sameshimakoichi partialdirectedcoherenceandthevectorautoregressivemodellingmythandacaveat