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A Measure of Prediction Precision for Granger Causality Analysis
2021 13th International Conference on Measurement, 2021Identification of causal interactions from time-series data is an emerging issue in many fields of science. The causal connection between two variables is detected by the Granger causality if the prediction of one variable based on a linear combination of its past values can be improved by incorporating past values of another.
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Granger causality analysis in the neural mass model
2015 34th Chinese Control Conference (CCC), 2015The study of brain functional connectivity has become an important aspect of neuroscience. With the development of different methods to detect functional connectivity, the neural mass model based on physiology provides a basis for validating methods. As a popular method of discovering functional connectivity, Granger causality is applied to many fields
Li Liang +7 more
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Causality analysis of neural connectivity: New tool and limitations of spectral Granger causality
Neurocomputing, 2012Granger causality (GC) is one of the most popular measures to reveal causality influence of time series based on the estimated linear regression model and has been widely applied in economics and neuroscience due to its simplicity, understandability and easy implementation.
Sanqing Hu, Hualou Liang
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Deep causal mining for plant-wide oscillations with multilevel Granger causality analysis
2016 American Control Conference (ACC), 2016Plant-wide disturbance such as oscillations are common in large-scale complex controlled processes whose effects propagate to many units and may deteriorate overall control performance. It is important to capture the major causal relationship within the plant and diagnose the root cause along with complete propagation paths. This paper presents a novel
Tao Yuan +3 more
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Statistical threshold for nonlinear Granger Causality in motor intention analysis
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011Directed influence between multiple channel signal measurements is important for the understanding of large dynamic systems. This research investigates a method to analyze large, complex multi-variable systems using directional flow measure to extract relevant information related to the functional connectivity between different units in the system. The
Mengting Liu +2 more
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Determinants of Economic Growth: A Granger Causality Analysis
The Journal of Developing AreasABSTRACT: Countries devote a lot of time and effort to develop economically, but they nevertheless struggle to attain that growth consistently. Research into economic growth should have provided some guidance as to which actions these countries should adopt, but multiple studies using different methods and datasets generally have led to an array of ...
Prathibha Joshi, Kris Aaron Beck
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Granger Causality Analysis in Irregular Time Series
Proceedings of the 2012 SIAM International Conference on Data Mining, 2012Mohammad Taha Bahadori, Yan Liu 0002
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Forecasting Cryptocurrency Price Fluctuations with Granger Causality Analysis
2022David L. John, Bela Stantic
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Brain-muscle Interaction Analysis with Time-variant Granger Causality
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 2023Nyi Nyi Tun +2 more
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