Ksenia Volkova

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A new characterization of the Pareto distribution is proposed, and new goodness-of-fit tests based on it are constructed. Test statistics are functionals of U empirical processes. The first of these statistics is of integral type, it is similar to the classical statistics ω1 n . The second one is a Kolmogorov type statistic. We show that the kernels of our(More)
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<i>Objective</i>. Brain-computer interface (BCI) systems are known to be vulnerable to variabilities in background states of a user. Usually, no detailed information on these states is available even during the training stage. Thus there is a need in a method which is capable of taking background states into account in an unsupervised way.(More)
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