Nonlinear extensions of new causality
New causality (NC) is a relatively recent method for inferring causal relationships between time-series data. Similar to other popular causal inference methods, like Granger causality (GC), NC can be evaluated in time or frequency domain. NC derives its value by partitioning a predictive model, grou...
Enregistré dans:
Auteurs principaux: | Pedro C. Nariyoshi, J.R. Deller, Jr. |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/6bcdca33cd5149e0b8ed61fa555b378c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A review of the Granger-causality fallacy
par: Mariusz Maziarz
Publié: (2015) -
Geopolitical tensions, opec news, and the oil price: A Granger causality analysis
par: Fernandois,Antonio, et autres
Publié: (2020) -
The Temporally-Integrated Causality Landscape: Reconciling Neuroscientific Theories With the Phenomenology of Consciousness
par: Jesse J. Winters
Publié: (2021) -
The Directionality of Fronto-Posterior Brain Connectivity Is Associated with the Degree of Individual Autistic Traits
par: Luca Tarasi, et autres
Publié: (2021) -
Investigation the causal relation of factors influencing on demand for
lumber imports in Iran
par: Amir Mollahassani, et autres
Publié: (2013)