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Variable-Lag Granger Causality for Time Series Analysis [PDF]
2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019 This paper will be appeared in the proceeding of 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
Chainarong Amornbunchornvej +2 more
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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
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Energies, 2019 This paper investigates the co-movement and asymmetric interactions between energy and grain prices, based on the evidence from the crude oil and corn markets, the most important energy and grain markets, respectively. Time series analysis indicates that
Zhan-Ming Chen +3 more
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Multiscale Granger causality analysis by à trous wavelet transform [PDF]
2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), 2017 Since interactions in neural systems occur across multiple temporal scales, it is likely that information flow will exhibit a multiscale structure, thus requiring a multiscale generalization of classical temporal precedence causality analysis like Granger's approach. However, the computation of multiscale measures of information dynamics is complicated
Sebastiano Stramaglia +3 more
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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.
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Granger-Causality Inference of the Existence of Unobserved Important Components in Network Analysis
Entropy, 2021 Detecting causal interrelationships in multivariate systems, in terms of the Granger-causality concept, is of major interest for applications in many fields. Analyzing all the relevant components of a system is almost impossible, which contrasts with the
Heba Elsegai
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Renal Failure, 2021 Background The purpose of this study was to explore the contribution of each factor of the phosphorus metabolism network following phosphorus diet intervention via Granger causality analysis.
Guoxin Ye +7 more
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Identifying interactions in the time and frequency domains in local and global networks : a Granger causality approach [PDF]
, 2010 Background Reverse-engineering approaches such as Bayesian network inference, ordinary differential equations (ODEs) and information theory are widely applied to deriving causal relationships among different elements such as genes, proteins, metabolites,
Ladroue, Christophe +11 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
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Frontiers in Psychiatry, 2020 BackgroundNumerous studies have confirmed that long-term shift work is not only associated with increased health problems and acute impact on safety but also with impaired cognitive abilities.
Yanzhe Ning +6 more
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