Boris Darkhovsky

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The problem of sequential detection of a changepoint in the density function of observations from a sequence of independent random variables is considered when both before and after a change-point this density function belongs to a certain family of distributions, i.e. in the general situation of composite hypotheses. A new quality criterion for(More)
Electroencephalogram (EEG) signals are complex and non-stationary. To analyze and model EEG records the segmentation of the signal into (quasi)- stationary intervals is needed. In this paper we propose a novel approach for the segmentation problem that occurs in “long” EEG records. This approach utilizes the concept of complexity of a(More)
A new approach to an estimation of complexity of the electroencephalogram (EEG) in humans is proposed. The basic idea of the approach consists in that complexity of continuous curve must be estimated by a relative part of information which one needs to recover the curve by given set of approximation methods with given accuracy based upon finite number of(More)
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