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Akademický článek

Statistical forecasting of the dynamics of epidemiological indicators for COVID-19 incidence in the Republic of Belarus

Autor: Yuriy S. Kharin, Valery A. Valoshka, Oksana V. Dernakova, Vladimir I. Malugin, Alexey Yu. Kharin

Publikováno v: Журнал Белорусского государственного университета: Математика, информатика, Iss 3, Pp 36-50 (2020)

The paper is devoted to the urgent problem of statistical forecasting for the dynamics of the main epidemiological indicators for the COVID-19 pandemic in the Republic of Belarus based on the observed time series. To solve this problem, five methods

Externí odkaz: https://doaj.org/article/23b944f100a3456abdebe60374ffe46c

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Akademický článek

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Akademický článek

TESTING OF CYCLIC STRUCTURAL CHANGES IN SWITCHING REGIME VECTOR AUTOREGRESSIVE MODELS

Autor: V. I. Malugin

Publikováno v: Informatika, Vol 0, Iss 4, Pp 5-16 (2016)

For vector autoregressive models RS-VARX with cyclic regime switching of states the method of excluding of short-term system state fluctuations is proposed. The method is based on a sequential application of two algorithms, realizing the Bayesian “

Externí odkaz: https://doaj.org/article/70d840502ab7485b90270617dbc88581

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Evaluation of changes in corneal biomechanics in eyes with keratectasia

Autor: S.V. Balalin, E.V. Lobanov, V.S. Kulikov, B.E. Malugin, E.G. Solodkova

Publikováno v: Modern technologies in ophtalmology. :179-187

Purpose. To make a comparative analysis of topographic, tomographic and biomechanical values, measured by Pentacam HR and Corvis ST, in healthy multirefractive cohort versus patients with keratectasia of various severity. Material and methods. The pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0abede14b760098005d2fdc0d85e967b
https://doi.org/10.25276/2312-4911-2021-5-179-187

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Akademický článek

Statistical Estimation and Classification Algorithms for Regime-Switching VAR Model with Exogenous Variables

Autor: Vladimir Malugin, Alexander Novopoltsev

Publikováno v: Austrian Journal of Statistics, Vol 46, Iss 3-4 (2017)

We consider a vector autoregression model with exogenous variables and Markov-switching regimes to describe complex systems with cyclic changes of states. To estimate and forecast the states, we propose EM and discriminant analysis algorithms based o

Externí odkaz: https://doaj.org/article/cbf5c9c7f5d64ef9af80f2f8bda65052

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