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Some properties of Gaussian mixtures and applications to magnetoencephalography problems
M. B. Goncharenkoa, T. V. Zakharovabc a INTEL A/O, 17-4 Krylatskaya Str., Moscow 121614, Russian Federation
b Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomo- nosov Moscow State University, 1-52 Leninskie Gory, GSP-1, Moscow 119991, Russian Federation
c Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
The article is dedicated to research of various properties of compound probability distributions (mixture distributions). Special attention is paid to the case when the mixed distribution is Gaussian. The authors establish the similarities in the behavior of Gaussian mixtures and Gaussian distributions during transformations. The authors study applications to magnetoencephalographic brain research. The authors determine the conditions under which the Aitken estimator (generalized least squares) is applicable for localization of sources of neurophysiologic activity in the case of noise having compound Gaussian distribution.
Keywords:
compound distributions, compound Gaussian distribution, compound Student distribution, compound lognormal distribution, compound gamma distributions, magnetoencephalography, MEG, inverse MEG problem, Aitken's estimator.
Received: 27.09.2020
Citation:
M. B. Goncharenko, T. V. Zakharova, “Some properties of Gaussian mixtures and applications to magnetoencephalography problems”, Inform. Primen., 15:2 (2021), 44–51
Linking options:
https://www.mathnet.ru/eng/ia727 https://www.mathnet.ru/eng/ia/v15/i2/p44
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