Results 11 to 20 of about 10,032 (253)
A Granger causality analysis of groundwater patterns over a half-century. [PDF]
Sci Rep, 2019 AbstractGroundwater depletion in many areas of the world has been broadly attributed to irrigation. However, more formal, data-driven, causal mechanisms of long-term groundwater patterns have not been assessed. Here, we conducted the first Granger causality analysis to identify the “causes” of groundwater patterns using the rice-producing parishes of ...
Singh NK, Borrok DM.
europepmc +4 more sources
Schizophrenia MEG Network Analysis Based on Kernel Granger Causality
Entropy, 2023 Network analysis is an important approach to explore complex brain structures under different pathological and physiological conditions. In this paper, we employ the multivariate inhomogeneous polynomial kernel Granger causality (MKGC) to construct ...
Qiong Wang +5 more
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The granger causality analysis of energy consumption and economic growth [PDF]
Marketing i Menedžment Innovacij, 2014 After the first oil crisis the world’s countries had to face recession caused by the high oil prices, and the role of energy consumption became a core element of economics.
T.S. Szép
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Depressed MEG causality analysis based on polynomial kernel Granger causality
AIP Advances, 2023 In this study, we employ the Granger causality of a polynomial kernel to identify the coupling causality of depressed magnetoencephalography (MEG). We collect MEG under positive, neutral, and negative emotional stimuli and focus on the β-band activities.
Jing Qian +7 more
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A study of problems encountered in Granger causality analysis from a neuroscience perspective [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2017 Patrick A Stokes +2 more
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Kernel-Granger causality and the analysis of dynamical networks [PDF]
Physical Review E, 2008 We propose a method of analysis of dynamical networks based on a recent measure of Granger causality between time series, based on kernel methods. The generalization of kernel Granger causality to the multivariate case, here presented, shares the following features with the bivariate measures: (i) the nonlinearity of the regression model can be ...
MARINAZZO D +2 more
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Heliyon, 2023 This study investigates the nexus between economic growth (GDP), trade openness, remittances, exchange rate, and agricultural output in E7 (Russia, Indonesia, Mexico, China, India, Brazil, and Turkey) economies, covering the data from 1990 to 2020.
Khalid Usman
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Multivariate Granger causality analysis of fMRI data [PDF]
Human Brain Mapping, 2008 AbstractThis article describes the combination of multivariate Granger causality analysis, temporal down‐sampling of fMRI time series, and graph theoretic concepts for investigating causal brain networks and their dynamics. As a demonstration, this approach was applied to analyze epoch‐to‐epoch changes in a hand‐gripping, muscle fatigue experiment ...
Gopikrishna, Deshpande +4 more
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Designing Bivariate Auto-Regressive Timeseries with Controlled Granger Causality
Entropy, 2021 In this manuscript, we analyze a bivariate vector auto-regressive (VAR) model in order to draw the design principle of a timeseries with a controlled statistical inter-relationship.
Shohei Hidaka, Takuma Torii
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Fiber-Centered Granger Causality Analysis [PDF]
, 2011 Granger causality analysis (GCA) has been well-established in the brain imaging field. However, the structural underpinnings and functional dynamics of Granger causality remain unclear. In this paper, we present fiber-centered GCA studies on resting state fMRI and natural stimulus fMRI datasets in order to elucidate the structural substrates and ...
Xiang Li 0001 +4 more
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