Article

A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations

2019-05-06

Abstract excerpt

High-frequency neuroelectric signals like electroencephalography (EEG) or magnetoencephalography (MEG) provide a unique opportunity to infer causal relationships between local activity of brain areas. While causal inference is commonly performed through Classical Granger causality (GC) based on multivariate autoregressive models, this method may encounter important limitations (e.g. data paucity) in the case of hi...

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Literature Corpus work: a5941637-9255-5409-b1f9-da876e9f137e
DOI: 10.20944/preprints201905.0057.v1

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