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Statistical methods and software for risk assessment: applications to a neurophysiological data set

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  • Karavasilis, G.J.
  • Kotti, V.K.
  • Tsitsis, D.S.
  • Vassiliadis, V.G.
  • Rigas, A.G.

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Suggested Citation

  • 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.
    • Handle: RePEc:eee:csdana:v:49:y:2005:i:1:p:243-263
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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.
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    Cited by:

    1. Colubi, Ana & González-Rodri­guez, Gil & Domi­nguez-Cuesta, Mari­a José & Jiménez-Sánchez, Montserrat, 2008. "Favorability functions based on kernel density estimation for logistic models: A case study," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4533-4543, May.
    2. 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.
    3. 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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    1. 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.

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