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1

Yi, Wen. Granger causality and equilibrium business cycle theory. Federal Reserve Bank of St. Louis, 2005.

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2

Reuveny, Rafael. International trade, political conflict/cooperation, and Granger causality. Indiana University, Graduate School of Business, 1994.

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3

Bianchi, Marco. Granger causality in the presence of structural changes. Bank of England, 1995.

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4

Reuveny, Rafael. Disaggregated bilateral trade political conflict/cooperation and Granger causality. Indiana University, Graduate School of Business, 1996.

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5

Halbert, White, Engle R. F, and Granger, C. W. J. 1934-, eds. Cointegration, causality, and forecasting: A festschrift in honour of Clive W.J. Granger. Oxford University Press, 1999.

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6

Lyons, Susanna E. Cointegration and Granger-causality testing of hypotheses on supply-leading and demand-following finance. Cardiff Business School, Financial and Banking Economics Research Group, 1993.

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7

Spanos, Aris. On the statistical implications of modelling the error term: Common factors, Granger-causality and unit roots. Birkbeck College, Dept. of Economics, 1987.

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8

Abhyankar, Abhay. Linear and nonlinear Granger causality: Evidence from the FT-SE 100 stock index futures and cash markets. University of Stirling, Dept. of Accountancy and Finance, 1994.

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9

(Editor), Robert F. Engle, and Halbert White (Editor), eds. Cointegration, Causality, and Forecasting: A Festschrift in Honour of Clive W.J. Granger. Oxford University Press, USA, 1999.

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10

Dobson, S. M. Performance and revenue in professional league football: Evidence from Granger causality tests. University of Hull, Department of Economics, 1997.

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11

Engineering 5. 0 6G Exploring Granger Causality in Dynamical Systems Modeling: The First Cobots Sold,. Independently Published, 2021.

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12

Yang, Chin-Wei. Unit Root, Cointegration, Granger-Causality, Threshold Regression and Other Econometric Modeling with Economics and Financial Da. Ehgbooks, 2018.

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13

Watson, Mark W., Clive W. J. Granger, Norman R. Swanson, and Eric Ghysels. Essays in Econometrics : Volume 2, Causality, Integration and Cointegration, and Long Memory: Collected Papers of Clive W. J. Granger. Cambridge University Press, 2001.

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14

Watson, Mark W., Clive W. J. Granger, Norman R. Swanson, and Eric Ghysels. Essays in Econometrics : Volume 2, Causality, Integration and Cointegration, and Long Memory: Collected Papers of Clive W. J. Granger. Cambridge University Press, 2010.

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15

Wendling, Fabrice, Marco Congendo, and Fernando H. Lopes da Silva. EEG Analysis. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.

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This chapter addresses the analysis and quantification of electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Topics include characteristics of these signals and practical issues such as sampling, filtering, and artifact rejection. Basic concepts of analysis in time and frequency domains are presented, with attention to non-stationary signals focusing on time-frequency signal decomposition, analytic signal and Hilbert transform, wavelet transform, matching pursuit, blind source separation and independent component analysis, canonical correlation analysis, and empirical mod
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16

Zhongguo jin rong fa zhan yu jing ji zeng chang de yin guo fang xiang xing shi zheng yan jiu: 1995-2004 = An empirical study on the direction of granger causality between financial development and economic growth in China. Jing ji ke xue chu ban she, 2008.

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17

Zhongguo jin rong fa zhan yu jing ji zeng chang de yin guo fang xiang xing shi zheng yan jiu: 1995-2004 = An empirical study on the direction of granger causality between financial development and economic growth in China. Jing ji ke xue chu ban she, 2008.

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18

Yang, Chin-Wei, 楊慶偉, and 黃柏農. Unit Root, Cointegration, Granger-Causality, Threshold Regression and Other Econometric Modeling with Economics and Financial Data: 單根,共積,格蘭傑爾因果,門檻迴歸及其他計量經濟模式. Ehgbooks, 2018.

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