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  4. 2025. Computer Data Analysis and Modeling: Stochastics and Data Science
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2025. Computer Data Analysis and Modeling: Stochastics and Data Science : [66] Главная страница коллекции Статистика

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This collection of papers includes proceedings of the Fourteenth International Conference “Computer Data Analysis and Modeling: Stochastics and Data Science” organized by the Belarusian State University and held in September 2025 in Minsk. Papers are reviewed by qualied researchers from Belarus and Russia.

The papers are devoted to the topical problems: robust data analysis; multivariate analysis; statistical analysis of time series and random fields; probabilistic and statistical analysis of discrete data; stochastics: theory and applications; statistical methods for signal and image processing; econometric modeling and financial mathematics; survey analysis and official statistics; data science: theory, visual analytics, software and applications.

For specialists who work in the fields of mathematical statistics and its applications, computer data analysis, data science and statistical software development.

Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – 299 p.

Редакционная коллегия:

Professor, Doctor Yu. Kharin (editor-in-chief); Professor, Doctor A. Zubkov (vice editor-in-chief); Professor, Doctor A. Kharin; Doctor M. Maltsew; Doctor U. Palukha

Reviewers:

Professor A. Egorov; Professor V. Malugin; Professor Yu. Pavlov; Doctor V. Voloshko

ISBN 978-985-881-830-2

При полном или частичном использовании материалов ссылка на сайт Электронной библиотеки БГУ (www.elib.bsu.by) обязательна.

Ресурсы коллекции (Сортировка по Дата поступления в По убыванию порядке): 21 по 40 из 66
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Предварительный просмотрДата выпускаЗаглавиеАвтор(ы)
2025Assessing contractor connections based on big data setsRahel, D. M.
2025Relativity principle and measure theoryRomanchak, V. M.; Lappo, P. M.
2025Comparative analysis of machine and deep learning algorithms in network traffic anomaly detectionSafiullin, T. T.
2025A note on exit times for nonlinear autoregressive processesAliev, A.; Dzhalilov, A.; Fontana, R.
2025Monte Carlo SSA for extracting weak signalsPoteshkin, E.; Golyandina, N.
2025On the generalized inverse Moore-Penrose matrix for multidimensional matricesMukha, V. S.
2025Estimation of parameters of NLFSR using Markov chains with partial connectionsPalukha, U. Yu.; Pardaev, A. A.
2025Import intensity dynamics in Chinese economic sectors: time series clustering of input-output data (1981–2018)Parkhimenka, U.; Bykau, A.
2025A two-sample test based on multivariate ranksPastukhov, N. V.
2025Comparison of two approaches for financial time series forecastingPleshakou, Ya. D.; Kharin, A. Yu.
2025Statistical classification of stationary time series by autoregressive model parameters and its efficiencyMikulich, G.; Zhuk, E.
2025On statistical estimation of s-dimensional probability distribution for binary random sequencesMaltsew, M. V.
2025Mixed-frequency data models and their application to real-time analysis and forecastingMalugin, V. I.
2025Analysis of rhythmic patterns of the time series based on the statistical model of NBDAlexeyeva, N. P.; Samarin, I. A.; Sotov, A. A.
2025Sectoral structure and profitability of GRP: regions of Russian FederationKudrov, A. V.
2025On using of artificial neural networks for approximation of binary functionsLatushkin, K. V.; Kharin, Yu. S.
2025Statistical forecasting of panel data based on state space modelsLobach, V. I.; Lobach, S. V.
2025Sufficient conditions for asymptotic normality of number of multiple repetitions of chains in marked complete trees and forestsKruglov, V. I.
2025On a sequential procedure for early detection of change in distributionLotov, V. I.
2025Asymptotic analysis of expected revenues in G-network with unreliable lines service and limited waiting time positive and negative customersKopats, D. Y.
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