A copula-based Granger causality analysis method for root cause diagnosis of plant-wide oscillation

2020 ◽  
Author(s):  
Huimin Shao ◽  
Jianguo Wang ◽  
Yuan Yao
Keyword(s):  
Granger Causality ◽  
Causality Analysis ◽  
Analysis Method ◽  
Root Cause ◽  
Granger Causality Analysis

scholarly journals Root Cause Diagnosis of Process Faults Using Conditional Granger Causality Analysis and Maximum Spanning Tree

2018 ◽  
Vol 51 (18) ◽  
pp. 381-386 ◽  
Author(s):  
Han-Sheng Chen ◽  
Zhengbing Yan ◽  
Xuelei Zhang ◽  
Yi Liu ◽  
Yuan Yao
Keyword(s):  
Granger Causality ◽  
Spanning Tree ◽  
Causality Analysis ◽  
Root Cause ◽  
Granger Causality Analysis ◽  
Maximum Spanning Tree

scholarly journals HUBUNGAN KAUSALITAS DEFISIT NERACA TRANSAKSI BERJALAN DENGAN KURS DI INDONESIA

2017 ◽  
Vol 4 (1) ◽  
pp. 18
Author(s):  
Didiet Purnomo ◽  
Wahyudi Wahyudi
Keyword(s):  
Granger Causality ◽  
Current Account ◽  
Granger Causality Test ◽  
Causality Analysis ◽  
Analysis Method ◽  
Causality Test ◽  
Granger Causality Analysis ◽  
Current Transaction ◽  
Stationary Test

This research is aimed at understanding the relation pattern of the current transaction balance and Indonesian rate of exchange in 1981-2002. The analysis method used is Granger causality method. Yet, before doing the Granger causality test, it was carried out data stationary test to avoid fake correlation. Stationary test shows that the data are not stationary so that it was made stationary by using one different level. The result of Granger causality analysis shows that it happen only one direction causality relation from the deficit of current account towards the rate of exchange because it has smaller counting F value then the determined a.

Fraud and Bank Performance in Nigeria – Var Granger Causality Analysis

e-Finanse ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 20-26
Author(s):  
Taiwo A. Muritala ◽  
Muftau A. Ijaiya ◽  
Olatanwa H. Afolabi ◽  
Abdulrasheed B. Yinus
Keyword(s):  
Control Systems ◽  
Granger Causality ◽  
Internal Control ◽  
Banking Sector ◽  
Bank Performance ◽  
Causality Analysis ◽  
Vector Autoregressive ◽  
Granger Causality Analysis ◽  
Long Run ◽  
Multivariate Cointegration

AbstractThis paper examines the causality between fraud and bank performance in Nigeria over the period 2000-2016 for quarterly financial data using Johansen’s Multivariate Cointegration Model and Vector Autoregressive (VAR) Granger Causality analysis. The results show a long-run relationship between the variables. Bank performance was found to be linked to Granger fraud variables and vice versa at 10% significant level. This study reveals that there was a direct causal relationship between bank performance and fraud because increase in fraudulent activities in the banking sector leads to reduction in bank performance. Hence, this study recommends that internal control systems of banks should be strengthened so as to detect and prevent fraud. In this way, bank assets would be protected.

scholarly journals Bayesian Based Granger Causality Analysis for Positive Emotional EEGs

2021 ◽  
Vol 168 ◽  
pp. S98
Author(s):  
Xiaohui Gao ◽  
Yinuo Zhang ◽  
Ke Liu ◽  
Yin Tian ◽  
Peiyang Li
Keyword(s):  
Granger Causality ◽  
Causality Analysis ◽  
Granger Causality Analysis

scholarly journals Stroke-related alterations in inter-areal communication revealed via Granger causality analysis

2021 ◽  
Author(s):  
Michele Allegra ◽  
Chiara Favaretto ◽  
Nicholas Metcalf ◽  
Maurizio Corbetta ◽  
Andrea Brovelli
Keyword(s):  
Functional Connectivity ◽  
Granger Causality ◽  
Resting State ◽  
Information Transfer ◽  
Large Scale ◽  
Functional Organization ◽  
Information Flows ◽  
Causality Analysis ◽  
Stroke Patients ◽  
Granger Causality Analysis

ABSTRACTNeuroimaging and neurological studies suggest that stroke is a brain network syndrome. While causing local ischemia and cell damage at the site of injury, stroke strongly perturbs the functional organization of brain networks at large. Critically, functional connectivity abnormalities parallel both behavioral deficits and functional recovery across different cognitive domains. However, the reasons for such relations remain poorly understood. Here, we tested the hypothesis that alterations in inter-areal communication underlie stroke-related modulations in functional connectivity (FC). To this aim, we used resting-state fMRI and Granger causality analysis to quantify information transfer between brain areas and its alteration in stroke. Two main large-scale anomalies were observed in stroke patients. First, inter-hemispheric information transfer was strongly decreased with respect to healthy controls. Second, information transfer within the affected hemisphere, and from the affected to the intact hemisphere was reduced. Both anomalies were more prominent in resting-state networks related to attention and language, and they were correlated with impaired performance in several behavioral domains. Overall, our results support the hypothesis that stroke perturbs inter-areal communication within and across hemispheres, and suggest novel therapeutic approaches aimed at restoring normal information flow.SIGNIFICANCE STATEMENTA thorough understanding of how stroke perturbs brain function is needed to improve recovery from the severe neurological syndromes affecting stroke patients. Previous resting-state neuroimaging studies suggested that interaction between hemispheres decreases after stroke, while interaction between areas of the same hemisphere increases. Here, we used Granger causality to reconstruct information flows in the brain at rest, and analyze how stroke perturbs them. We showed that stroke causes a global reduction of inter-hemispheric communication, and an imbalance between the intact and the affected hemisphere: information flows within and from the latter are impaired. Our results may inform the design of stimulation therapies to restore the functional balance lost after stroke.

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