V. G. Vassiliadis

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Different statistical methods for the assessment of potential risk factors are discussed, in the case of a complex neurophysiological system, involving binary observations. The first approach describes the use of non-parametric methods, which are based on the cross-product ratio (CPR). The estimates of the CPR are given both in time and frequency domains(More)
In this paper, we provide a semi-parametric test for the hypothesis that the spectra of two stationary point processes (SPPs) are the same. The estimates of the second-order spectral density functions of the SPPs are obtained by using two different approaches: (a) by smoothing the modified periodogram statistics using a moving average weighting scheme, (b)(More)
In this work we present two algorithms for the estimation of the phase of a neuroelectric system of point processes using the third-order spectral density function of the output. The neuroelectric system, which is called muscle spindle, plays an important role in the initiation of the movement and the maintenance of the posture. The system can be modelled(More)
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