Oct 1, 2013 � We proposed a new framework for inferring the Granger causality between groups of times series by taking the finer-scale details into the MVAR�...
Oct 15, 2012 � Within this framework, Granger causality is redefined as a global index measuring the directed information flow between two time series with�...
We propose a novel theoretical framework, spatio-temporal Granger causality, which allows us to more reliably and precisely estimate the Granger causality from�...
Herein, we propose a novel theoretical framework, spatio-temporal Granger causality, which allows us to more reliably and precisely estimate the Granger�...
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Co-authors ; Spatio-temporal Granger causality: A new framework. Q Luo, W Lu, W Cheng, PA Valdes-Sosa, X Wen, M Ding, J Feng. NeuroImage 79, 241-263, 2013. 50�...
We employed spectral Granger causality analysis on a full set of 56 electroencephalographic recordings acquired during the execution of either a 2D movement�...
We propose a Granger causal-based spatial–temporal contrastive learning framework, which significantly enhances the ability to capture EEG signal information.
Jul 3, 2023 � We proposed a method to extract causal relations of spatial clusters from multi-dimensional event sequence data, also known as a spatio-temporal point process.
Oct 1, 2024 � Granger causality measure (GCM) and conditional GCM (cGCM) are widely used methods for identifying directed connections between time series.
Apr 3, 2024 � This survey paper covers the breadth and depth of time-series and spatiotemporal causality methods, and their applications in Earth Science.
