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部分定向相干性与向量自回归建模的误区及警示

Partial Directed Coherence and the Vector Autoregressive Modelling Myth and a Caveat.

作者信息

Baccalá Luiz A, Sameshima Koichi

机构信息

Laboratório de Comunicações e Sinais, Departamento de Telecomunicações e Controle, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.

Departamento de Radiologia e Oncologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

出版信息

Front Netw Physiol. 2022 Apr 28;2:845327. doi: 10.3389/fnetp.2022.845327. eCollection 2022.

Abstract

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 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 captured.

摘要

在此,我们消除一个长期存在的误解,即部分定向相干性是一个依赖向量自回归(VAR)建模的概念。事实上,我们的例子表明,其核心在于[此处原文缺失关键内容],而VAR建模仅仅是一种手段,尽管非常高效且便捷。这一般适用于格兰杰因果关系估计程序,也包括瞬时格兰杰效应。然而,对于通过非最小相位机制生成的多变量数据之间的连通性必须谨慎处理,因为它可能无法被准确捕捉。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc12/10012995/c0e6c4ade771/fnetp-02-845327-g001.jpg

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