Neural Granger Causality

While most classical approaches to Granger causality detection assume linear dynamics, many interactions in real-world applications, like neuroscience and genomics, are inherently nonlinear. In these cases, using linear models may lead to inconsistent estimation of Granger causal interactions. We pr...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence 2022-08, Vol.44 (8), p.4267-4279
Main Authors:	Tank, Alex, Covert, Ian, Foti, Nicholas, Shojaie, Ali, Fox, Emily B.
Format:	Article
Language:	English
Subjects:	Algorithms Causality Data models Datasets Estimation Fines & penalties Gene expression Granger causality Human motion Humans interpretability Linear Models Motion capture Multilayer perceptrons Neural networks Neural Networks, Computer Predictive models Reactive power Recurrent neural networks structured sparsity Time series Time series analysis
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