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All issues Volume 16 (2018) ITM Web Conf., 16 (2018) 01002 References
Open Access
Issue
ITM Web Conf.
Volume 16, 2018
AMCSE 2017 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
Article Number 01002
Number of page(s) 5
Section Communications-Systems-Signal Processing
DOI https://doi.org/10.1051/itmconf/20181601002
Published online 09 January 2018
  1. I. Korhonen, A. Peresetsky, What influences stock market behavior in Russia and other emerging countries, Emergin Market Finance & Trade, 52 (2016) [Google Scholar]
  2. J. Janku, S. Kappel, Z. Kucerova. Monetary and Fiscal Policy Coordination in Slovakia: A Game Theory Approach, Ekonomický časopis 63 (2015) [Google Scholar]
  3. S. Kapounek, Z. Kučerová, J. Fidrmuc., Lending conditions in EU: The role of credit demand and supply, Economic Modelling (2017) [Google Scholar]
  4. G. Hassan, A. Cooray, M. Holmes, The effect of female and male health on economic growth: cross-country evidence within a production function Framework, Empirical Economics, 52 (2017) [Google Scholar]
  5. M. Feldkircher, I. Korhonen, The rise of China and james charles its implications for the global economy:evidence from a global vector autopregressive model. Pacific Economic Review, 19 (2014) [Google Scholar]
  6. E. Lukmanova, G. Tondl, Macroeconomic imbalances and business cycle synchronization. Why common economic governance is imperative for the Eurozone. Economic Modelling 62 (2017 [Google Scholar]
  7. F. Lu, H. Qiao, S. Wang, K. K. Lai, Y. Li, Time-varying coefficient vector autoregressions model based on dynamic correlation with an application to crude oil and stock markets. Environmental Research 152 (2017) [Google Scholar]
  8. Ch. Croux, M. Forni, L. Reichlin, A Measure of Comovement for Economic Variables: Theory And Empirics. The Review of Economics and Statistics 83 (2001) [Google Scholar]
  9. A. Iacobucci, A. Noullez, A frequency selective filter for short-length time series. Computational Economics 25 (2005) [Google Scholar]
  10. J. Fidrmuc, T. Ikeda, K. Iwatsubo, International transmission of business cycles: Evidence from dynamic correlations. Economic Letters 114 (2012) [Google Scholar]
  11. J. Poměnková, S. Kapounek, R. Maršálek, Variability of Dynamic Correlation–The Evidence of Sector-Specific Shocks in V4 Countries. Prague Economic Papers 23 (2014) [Google Scholar]
  12. A. Xu, S. Haykin, R. J. Racine, Multiple Window Time-Frequency Distribution and Coherence of EEG Using Slepian Sequences and Hermite Function. IEEE Transactions of Biomedical Engineering 46 (1999) [Google Scholar]
  13. J. G. Proakis, Ch. M. Rader, F. L. Ling, Ch. L. Nikias, M. Moonen, J. K. Proudler. 2002. Algorithms for Statistical Signal Processing. (Prentice Hall. 2002). [Google Scholar]
  14. D. Wang, S. Shilong, Tse W. Peter., A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features. Mechanical Systems and Signal Processing 52 (2015) [Google Scholar]
  15. W. Jiang, S. Mahadevan, Wavelet spectrum analysis approach to model validation of dynamic systems. Mechanical Systems and Signal Processing 25 (2011) [Google Scholar]
  16. R. Maršálek, J. Poměnková, S. Kapounek. A Wavelet-Based Approach to Filter Out Symmetric Macroeconomic Shocks. Comput. Econ. 44 (2014) [Google Scholar]
  17. E. Klejmová, T. Malach, J. Poměnková, Wavelet Significance Testing with Respect to GWN Background: Monte Carlo Simulation Usage. In Proceedings of 27th international conference Radioelektronika 2017. [Google Scholar]
  18. E. Klejmová, J. Poměnková, J. Blumenstein, Combination of the time-frequency representation for background noise supression. In Proceedings 31st European Conference on Moelling and Simulation ECMS 2017. [Google Scholar]
  19. Z. Ftiti, A. Tiwari, A. Belanés, Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V. S. Wavelet Analysis. Computational Economics 46 (2014) [Google Scholar]
  20. A. N. Berdiev, Ch-P. Chang, Business cycle synchronization in Asia-Pacific: New evidence from wavelet analysis. Journal of Asia Econ. 37 (2015) [Google Scholar]
  21. Ch. Torrence, G. P. Compo, A practical guide to wavelet analysis. Bulletin of the American Meteorological society 79 (1998) [Google Scholar]
  22. Z. Ge, Significance tests for the wavelet cross spectrum and wavelet linear coherence. Annales Geophysicae 26 (2008) [Google Scholar]
  23. Z. Ge, Significance tests for the wavelet power and the wavelet power spectrum. Annales Geophysicae 25 (2007) [Google Scholar]
  24. W. T. Wells,R. L. Anderson, J. W. Cell, The distribution of the productof two central or non-central chi-square varietes, Ann. Math. Stat. 33 (1962) [Google Scholar]
  25. C. P. Robert, G. Casella, Monte Carlo Statistical Methods (New York: Springer, 2004) [CrossRef] [Google Scholar]
  26. Organisation for Economic Co-operation and Development: National Accounts [online database]. (2017) [cit. 2017-01-12]. Available at: http:$\backslash\backslash$stats.oecd.org$\\\backslash$Index.aspx?DatasetCode$=$SNA\_TABLE1. [Google Scholar]

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