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Evaluating the propagation process of meteorological, hydrological, and agricultural drought dynamics in the Yellow river basin. [PDF]
Gu X +6 more
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A Causality-Informed Correlation-Aware Health-State Assessment for Complex Equipment. [PDF]
Li W, Feng Z, Sun Y, Zhang X.
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Testing for Granger Causality between Corruption and Governance
Keita, Kouramoudou, Laurila, Hannu
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Testing for Granger's Full Causality
The Review of Economics and Statistics, 1992A procedure is proposed to test for the existence of a fully causal relationship between two variables. The method involves contrasting the probabilistic forecasting performance of a univariate and bivariate specification for the same variable Y. If there exists some theory or belief that X causes Y, and the addition of a variable X to the information ...
Covey, Ted, Bessler, David A
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Surrogate-based test for Granger causality
2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), 2003An approach for testing the presence of Granger causality between two time series is proposed. The residue of the destination signal after self-prediction is computed, after which a cross-prediction of the source signal over this residue is examined. In the absence of causality, there should be no cross-predictive power, due to which the performance of
Temujin Gautama, Marc M. Van Hulle
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OUT-OF-SAMPLE TESTS FOR GRANGER CAUSALITY
Macroeconomic Dynamics, 2001Clive W.J. Granger has summarized his personal viewpoint on testing for causality in numerous articles over the past 30 years and has outlined what he considers to be a useful operational version of his original definition of Granger causality, which he notes is partially alluded to in the Ph.D. dissertation of Norbert Wiener.
Chao, John +2 more
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Testing for time-varying Granger causality
The Stata Journal: Promoting communications on statistics and Stata, 2022The concept of Granger causality is an important tool in applied macroeconomics. Recently, recursive econometric methods have been developed to analyze the temporal stability of Granger-causal relationships. This article offers an implementation of these recursive procedures in Stata. An empirical example illustrates their use in analyzing the temporal
Christopher F. Baum +2 more
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Statistical Tests for Detecting Granger Causality
IEEE Transactions on Signal Processing, 2018Detection of a causal relationship between two or more sets of data is an important problem across various scientific disciplines. The Granger causality index and its derivatives are important metrics developed and used for this purpose. However, the test statistics based on these metrics ignore the effect of practical measurement impairments such as ...
Ribhu Chopra +2 more
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