Суміш розподілів на основі ланцюга Маркова / Єлейко Я. І., Ярова O. A. (2022)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2022, 58 (5))

Yeleyko Y.I., Yarova O.A.
Mixture of distributions based on the Markov chain

A Markov chain subject to the environmental data is considered. A mixture of distributions is found on the basis of Kolmogorov’s criterion. Empirical distribution functions are generated for the samples of normal distributions, the ergodic distribution of the Markov chain is found, and the mixture of distributions is determined. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: Kolmogorov criterion, Markov chain, matrix of transition probabilities, mixture of distributions, normal distribution, Computational complexity, Distribution functions, Mixtures, Empirical distribution functions, Environmental data, Ergodic distribution, Kolmogorov, Kolmogorov criterion, Matrix of transition probabilities, Mixture of distributions, S-criterion, Normal distribution


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Cite:
Yeleyko Y.I., Yarova O.A. (2022). Mixture of distributions based on the Markov chain. Cybernetics and Systems Analysis, 58 (5), 94–97. doi: https://doi.org/10.1007/s10559-022-00508-4 http://jnas.nbuv.gov.ua/article/UJRN-0001348613 [In Ukrainian].


 

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