Results 31 to 40 of about 90,737 (348)
On the Validity of Granger Causality for Ecological Count Time Series
EconometricsKnowledge of causal relationships is fundamental for understanding the dynamic mechanisms of ecological systems. To detect such relationships from multivariate time series, Granger causality, an idea first developed in econometrics, has been formulated ...
Konstantinos G. Papaspyropoulos +1 more
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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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Reexamination of Okun's law: Empirical analysis from Panel Granger Causality [PDF]
Industrija, 2020 This study aims to confirm the existence of Okun's coefficients in Indonesia. Authors conducted panel data of 34 provinces in Indonesia for the period from 2014 to 2019, obtained from the Central Bureau of Statistics.
Sasongko Gatot +3 more
doaj
Kernel Method for Nonlinear Granger Causality [PDF]
Physical Review Letters, 2008 Revised version, accepted for publication on Physical Review ...
Marinazzo, Daniele +2 more
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Testing subspace Granger causality [PDF]
Econometrics and Statistics, 2019 Abstract The methodology of multivariate Granger non-causality testing at various horizons is extended to allow for inference on its directionality. Empirical manifestations of these subspaces are presented and useful interpretations for them are provided.
openaire +4 more sources
The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference [PDF]
Journal of Neuroscience Methods, 2014 Wiener-Granger causality ("G-causality") is a statistical notion of causality applicable to time series data, whereby cause precedes, and helps predict, effect. It is defined in both time and frequency domains, and allows for the conditioning out of common causal influences.
Barnett, Lionel, Seth, Anil K
openaire +3 more sources
Energies, 2018 This study examines the Granger-causal relationships between oil price movements and global stock returns by using time-varying Granger-causality tests in mean and in variance.
Emrah İ. Çevik +2 more
doaj +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Space-Time Causality Analysis of Regional Impacts of ENSO on Terrestrial and Oceanic Precipitation
Atmosphere, 2023 Future changes are expected in precipitation under climate change, therefore, changes are projected in the oceanic and terrestrial components. However, it remains poorly elucidated how the El Niño–Southern Oscillation (ENSO) can influence these changes ...
Gleisis Alvarez-Socorro +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source