Results 11 to 20 of about 21,518 (299)
Video Sensor-Based Complex Scene Analysis with Granger Causality [PDF]
Sensors, 2013 In this report, we propose a novel framework to explore the activity interactions and temporal dependencies between activities in complex video surveillance scenes.
Shuang Wu +4 more
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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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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 +4 more sources
Forecasting Cryptocurrency Price Fluctuations with Granger Causality Analysis
, 2022 Forecasting various economic indicators has been a primary interest in economics and has attracted the attention of many researchers. Granger causality analysis has become quite popular in the econometrics literature and it aims to determine whether one ...
David L. John, Bela Stantic
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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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Granger causality analysis in neuroscience and neuroimaging. [PDF]
J Neurosci, 2015 ### Introduction A key challenge in neuroscience and, in particular, neuroimaging, is to move beyond identification of regional activations toward the characterization of functional circuits underpinning perception, cognition, behavior, and consciousness.
Seth AK, Barrett AB, Barnett L.
europepmc +5 more sources
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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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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