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Root causality analysis at early abnormal stage using principal component analysis and multivariate Granger causality

, 2020
As fault detection technologies have been developed, process fault diagnosis at early abnormal stage has come to be considered a major problem. In this work, a method to analyze the root cause of faults is developed to provide proper information at the ...
Hahyung Pyun   +4 more
semanticscholar   +1 more source

The extended Granger causality analysis for Hodgkin–Huxley neuronal models

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
How to extract directions of information flow in dynamical systems based on empirical data remains a key challenge. The Granger causality (GC) analysis has been identified as a powerful method to achieve this capability. However, the framework of the GC theory requires that the dynamics of the investigated system can be statistically linearized; i.e ...
Hong Cheng, David Cai, Douglas Zhou
openaire   +2 more sources

Examining the causal impacts of tourism, globalization, economic growth and carbon emissions in tourism island territories: bootstrap panel Granger causality analysis

Current Issues in Tourism, 2018
In this paper, we examine the direction of causality between tourism, economic growth and carbon emissions in a multivariate framework that incorporates the newly introduced globalization index as an additional variable.
S. Akadiri   +3 more
semanticscholar   +1 more source

Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI

Comput. Biol. Medicine, 2019
Several studies have already assessed brain network variations in multiple sclerosis (MS) patients and healthy controls (HCs). The underlying neural system's functioning is apparently too complicated, however.
Farzad Azarmi   +4 more
semanticscholar   +1 more source

A MATLAB toolbox for Granger causal connectivity analysis

Journal of Neuroscience Methods, 2010
Assessing directed functional connectivity from time series data is a key challenge in neuroscience. One approach to this problem leverages a combination of Granger causality analysis and network theory. This article describes a freely available MATLAB toolbox--'Granger causal connectivity analysis' (GCCA)--which provides a core set of methods for ...
openaire   +2 more sources

Vegetation‐Climate Interactions on the Loess Plateau: A Nonlinear Granger Causality Analysis

Journal of Geophysical Research: Atmospheres, 2018
In this study, we used a multiyear normalized difference vegetation index data set (1981–2015), and corresponding data sets for observed climatic factors, to investigate vegetation‐climate interactions on the Loess Plateau using an innovative nonlinear ...
Dongxian Kong   +4 more
semanticscholar   +1 more source

Granger causality analysis in the neural mass model

2015 34th Chinese Control Conference (CCC), 2015
The 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
openaire   +1 more source

Natural gas consumption and economic growth nexus for top 10 natural Gas–Consuming countries: A granger causality analysis in the frequency domain

Energy, 2018
In this study, the relationship between natural gas energy consumption and economic growth has been examined within the framework of the growth model for the top 10 natural gas–consuming countries from 1994 to 2015 using the recently developed panel ...
Mucahit Aydin
semanticscholar   +1 more source

Granger causality analysis of sleep brain-heart interactions

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2014
We studied the networks of Granger causality (GC) between the time series of cardiac vagal autonomic activity and brain wave activities, measured respectively as the normalized high frequency (HF) component of heart rate variability and EEG power in the δ, θ, α, σ, β bands, computed in 10 healthy subjects during sleep.
Faes, Luca   +3 more
openaire   +2 more sources

Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery

IEEE Transactions on Neural Networks and Learning Systems, 2016
In this paper we first point out a fatal drawback that the widely used Granger causality (GC) needs to estimate the autoregressive model, which is equivalent to taking a series of backward recursive operations which are infeasible in many irreversible chemical reaction models. Thus, new causality (NC) proposed by Hu et al. (2011) is theoretically shown
Sanqing, Hu   +5 more
openaire   +2 more sources

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