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Multiscale Granger causality [PDF]
Physical Review E, 2017 In the study of complex physical and biological systems represented by multivariate stochastic processes, an issue of great relevance is the description of the system dynamics spanning multiple temporal scales.
Faes, Luca +3 more
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Neural Granger Causality. [PDF]
IEEE Trans Pattern Anal Mach Intell, 2022 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.
Tank A +4 more
europepmc +5 more sources
Bibliometric Analysis of Granger Causality Studies [PDF]
Entropy, 2023 Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations.
Weng Siew Lam +3 more
doaj +2 more sources
Multivariate Granger Causality and Generalized Variance [PDF]
Physical Review E, 2010 Granger causality analysis is a popular method for inference on directed interactions in complex systems of many variables. A shortcoming of the standard framework for Granger causality is that it only allows for examination of interactions between ...
Adam B. Barrett +11 more
core +5 more sources
Granger Causality Analysis of Chignolin Folding. [PDF]
J Chem Theory Comput, 2022 Constantly advancing computer simulations of biomolecules provide huge amounts of data that are difficult to interpret. In particular, obtaining insights into functional aspects of macromolecular dynamics, often related to cascades of transient events, calls for methodologies that depart from the well-grounded framework of equilibrium statistical ...
Sobieraj M, Setny P.
europepmc +3 more sources
Physical Review E, 2021 Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. For Gaussian variables it is equivalent to transfer entropy, an information-theoretic measure of time-directed information transfer between jointly dependent processes.
Sebastiano Stramaglia +3 more
openaire +6 more sources
Frontiers in Computational Neuroscience, 2021 In recent years, affective computing based on electroencephalogram (EEG) data has attracted increased attention. As a classic EEG feature extraction model, Granger causality analysis has been widely used in emotion classification models, which construct ...
Dongwei Chen +5 more
doaj +1 more source
Hubungan Antara Perkembangan Sektor Keuangan dengan Volatilitas Ekonomi di Indonesia
Economic Journal of Emerging Markets, 2009 The study is conducted to analyze the causal relationship between financial sector development and economic volatility in Indonesia during the period of 1983.2-2000.4. The study uses three kinds of variables as proxies to the financial sector development.
Romi Mulyadi H.
doaj +7 more sources
PLoS ONE, 2023 The elderly population and economic growth have been a contentious topic among researchers. Regardless of the economic growth rate, the population and its growth have a stimulating influence on economic development.
Thaveesha Jayawardhana +5 more
doaj +2 more sources
New considerations on the validity of the Wiener-Granger causality test
Heliyon, 2020 The Wiener-Granger causality test is used to predict future experimental results from past observations in a purely mathematical way. For instance, in many scientific papers this test has been used to study the causality relations in the case of neuronal
Greta Grassmann
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