Výsledky vyhledávání - "Kharin, Yu. S."

Akademický článek

Statistical analysis of high-order Markov dependencies.

Autor: KHARIN, YU. S.¹ kharin@bsu.by, MALTSEW, M. V.¹ maltsew@bsu.by

Publikováno v: Acta et Commentationes Universitatis Tartuensis de Mathematica. Jun2017, Vol. 21 Issue 1, p79-91. 13p.

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Akademický článek

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Statistical analysis of count conditionally nonlinear autoregressive time series by frequencies-based estimators

Autor: Kharin, Yu. S., Kislach, M. I.

Models of count time series with denumerable states space with conditional probability distributios generated by Bernoulli trial scheme ( Poisson (model M 1 ), Geometric (model M 2 ), Negative binomial (model M 3 ), Borel-Tanner (model M 4 ) ) condit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1594::fe621a1097da7d6b094934262240a1d6
http://elib.bsu.by/handle/123456789/233360

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On statistical estimation of transition probabilities matrix for Markov chain under incomplete observations

Autor: Kharin, Yu. S., Dernakova, O. V.

A problem of statistical analysis for homogeneous Markov chain is considered for the situation with incomplete observations. The logarithmic likelihood function is constructed when there are multiple series of incomplete observations. A consistent st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1594::e53fe979de085363718abeddd4fb0e80
http://elib.bsu.by/handle/123456789/233359

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Discrete-valued time series analysis by parsimonious high-order Markov chains

Autor: Kharin, Yu. S.

Problems of statistical analysis of discrete-valued time series are considered. A family of parsimonious (small-parametric) models for observed data are proposed based on high-order Markov chains. Consistent statistical estimators for parameters of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1594::078de5d51ac3bf3626a787752f222f9b
http://elib.bsu.by/handle/123456789/233406

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Statistical classification of the states of biological cells treated with carbon nanotubes based on AFM-images of cell surface

Autor: Starodubtsev, I. E., Kharin, Yu. S., Starodubtseva, M. N.

The method of statistical classification of biological cells, treated with carbon nanotubes, based on images of cell surface obtained with an atomic force microscope (AFM) is proposed. Each scan line of the original AFM image is considered as a rando

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1594::fb33bd33ffecd3a9d90170aecd443e58
http://elib.bsu.by/handle/123456789/233390

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Akademický článek

Robust Classification of Multinomial Observations with Possible Outliers.

Autor: Kharin, Yu. S., Zhuk, E. E.

Publikováno v: Journal of Classification. 2000, Vol. 17 Issue 1, p51. 15p. 2 Charts.

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Optimality and robustness in statistical forecasting

Autor: Kharin, Yu. S.

The statistical forecasting (prediction) problem of time series is considered for the typical in practice situation where the underlying hypothetical data model is distorted. We present a review of our solutions for the following topical problems of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1594::98d4719a55a9e920686186d78d12cca7
http://elib.bsu.by/handle/123456789/160148

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