Электронная библиотека БГУ: 2022. Computer Data Analysis and Modeling: Stochastics and Data Science

Даты публикации Авторы Заглавия Темы

2022. Computer Data Analysis and Modeling: Stochastics and Data Science : [49] Главная страница коллекции Статистика

This collection of papers includes proceedings of the Thirteenth International Conference “Computer Data Analysis and Modeling: Stochastics and Data Science” organized by the Belarusian State University and held in September 2022 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; asymptotic methods in stochastics; statistical methods of signal and image processing; econometric modeling and financial mathematics; survey analysis and oficial statistics; computer modeling and simulation of stochastic systems; data science, algorithms and software for data analysis and modeling; computer data analysis in 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 XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – 250 p.

Editorial board:

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

Reviewers:

Doctor V. Malugin; Doctor V. Voloshko

ISBN 978-985-881-420-5

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

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следующий >

Дата выпуска	Заглавие	Автор(ы)
2022	Statistical estimation of high-order dependencies in discrete-valued time series	Kharin, Yu. S.
2022	On software library for statistical classification of discrete-valued multivariate data, time series and random fields	Kharin, Yu. S.; Voloshko, V. A.; Staleuskaya, S. N.; Sinkevich, N. V.
2022	Orthogonal decomposition of bivariate densities using the Bayes space methodology	Hron, K.
2022	Performance and robustness in sequential analysis of stochastic data flows	Kharin, A. Yu.; Ton That Tu; Sheuka, I. Yu.
2022	Modeling the management of social processes through mass mailings	Zubov, S. V.
2022	Computation of distributions of the Kolmogorov-Smirnov statistic for finite samples	Filina, M. V.; Zubkov, A. M.
2022	Notes on the independence of tests and on completeness of NIST package	Zubkov, A. M.; Serov, A. A.
2022	Modeling the spatial effects of economic development of Belarus	Vysotski, S.
2022	Complex 5-component oscillator as a tool of technical analysis in algorithmic trading	Zhalezka, B. A.; Stadnik, A. O.; Siniavskaya, V. A.
2022	Test of exponentiality with shift based on conditional distribution relative to sufficient statistics	Zorine, A. V.
2022	Statistical analysis of non-stationary time series based on Brownian motion models	Zherelo, V. A.; Zhuk, E. E.
2022	On power comparison for some tests on pure randomness under Markov high-order dependencies	Voloshko, V. A.; Kharin, Yu. S.; Trubey, A. I.
2022	On discrete-valued time series based on multidimensional exponential family	Voloshko, V. A.; Kharin, Yu. S.
2022	Using of CUSUM change-point detection algorithm for Markov-modulated Poisson process identification	Vorobejchikov, S. E.; Burkatovskaya, Yu. B.
2022	Posterior predictive model checking using formal methods	Vana, L.; Visconti, E.; Nenzi, L.; Cadonna, A.; Kastner, G.; Parzer, R.
2022	On the calculation of functionals from the solution to linear SDE with first-order chaos in coefficients	Egorov, A. D.
2022	Quantifying and estimating (multivariate) directed dependence	Trutschnig, W.
2022	The fuzzy-possibility approach to overcoming complexity under uncertainty	Spesivtsev, A. V.; Mikhailov, V. V.
2022	Forecasting cases of children disease by non-invasive forms of pneumococcal infection	Sokolova, M. V.; Romanova, O. N.; Kolomiets, N. D.; Bosiakov, S. M.
2022	Modifications of the imputation method for parameter estimation of censored autoregressive time series	Tsirul, E. A.; Badziahin, I. A.

Ресурсы коллекции (Сортировка по Дата поступления в По убыванию порядке): 1 по 20 из 49

следующий >

2022. Computer Data Analysis and Modeling: Stochastics and Data Science : [49] Главная страница коллекции Статистика

Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – 250 p.

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