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Measuring the association of stationary point processes using spectral analysis techniques

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  • Dimitrios Tsitsis
  • George Karavasilis
  • Alexandros Rigas

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  • Dimitrios Tsitsis & George Karavasilis & Alexandros Rigas, 2012. "Measuring the association of stationary point processes using spectral analysis techniques," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 23-47, March.
    • Handle: RePEc:spr:stmapp:v:21:y:2012:i:1:p:23-47
    DOI: 10.1007/s10260-011-0180-1
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    References listed on IDEAS

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    1. A. G. Rigas, 1996. "Spectral Analysis Of A Stationary Bivariate Point Process With Applications To Neurophysiological Problems," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(2), pages 171-187, March.
    2. Eichler, Michael, 2008. "Testing nonparametric and semiparametric hypotheses in vector stationary processes," Journal of Multivariate Analysis, Elsevier, vol. 99(5), pages 968-1009, May.
    3. Ellis, Steven P., 1991. "Density estimation for point processes," Stochastic Processes and their Applications, Elsevier, vol. 39(2), pages 345-358, December.
    4. Karavasilis, G.J. & Kotti, V.K. & Tsitsis, D.S. & Vassiliadis, V.G. & Rigas, A.G., 2005. "Statistical methods and software for risk assessment: applications to a neurophysiological data set," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 243-263, April.
    5. M. B. Priestley, 1965. "The Role of Bandwidth in Spectral Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 14(1), pages 33-47, March.
    6. A. G. Rigas, 1992. "Spectral Analysis Of Stationary Point Processes Using The Fast Fourier Transform Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 13(5), pages 441-450, September.
    7. Taniguchi, Masanobu & Puri, Madan L. & Kondo, Masao, 1996. "Nonparametric Approach for Non-Gaussian Vector Stationary Processes," Journal of Multivariate Analysis, Elsevier, vol. 56(2), pages 259-283, February.
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    Cited by:

    1. V. G. Vassiliadis & I. I. Spyroglou & A. G. Rigas & J. R. Rosenberg & K. A. Lindsay, 2019. "Dealing with the Phenomenon of Quasi-complete Separation and a Goodness of Fit Test in Logistic Regression Models in the Case of Long Data Sets," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 567-596, December.

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