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

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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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Предварительный просмотрДата выпускаЗаглавиеАвтор(ы)
2022Modifications of the imputation method for parameter estimation of censored autoregressive time seriesTsirul, E. A.; Badziahin, I. A.
2022Dynamic three-factor production functions with hicks-neutral technological progressPranevich, A. F.; Khatskevich, G. A.
2022The limiting distributions of statistics of several criteria from the NIST statistical test suiteSavelov, M. P.
2022On large excursions probabilities for Gaussian copula vector processes. Applications in reliability and financePiterbarg, V. I.; Alieva, P. N.
2022Statistical assessment of the real demographic security of the Republic of BelarusSharilova, E.
2022Coupon collector’s problem for two special discrete renewal processesChernousova, E.; Molchanov, S.
2022On statistical testing of random and pseudorandom sequences based on entropy functionalsPalukha, U. Yu.; Kharin, Yu. S.; Siarheeu, A. I.; Arlou, A. A.
2022Investigation of the statistical security of a pseudo-random sequence generatorNysanbayeva, S. E.; Kapalova, N. A.; Dyusenbayev, D. S.; Algazy, K. T.; Sakan, K. S.
2022Analysis of chaotic process forecast effectiveness based on terminal indicators of management qualityMusaev, A. A.; Grigoriev, D. A.
2022On statistical evaluation of randomness based on minimum entropy estimatorPirshtuk, I. K.; Serikova, N. V.
2022On the dual stabilization of the multidimensional regression object at a given levelMukha, V. S.; Kako, N. F.
2022On robustness of the optimal feedback law in a stochastic linear-quadratic control problem under cost uncertaintyPalamarchuk, E. S.
2022On testing randomness using frequency estimatorsMaltsew, M. V.; Kharin, Yu. S.
2022Aspect extraction from scientific textsMarshalova, A. E.; Bruches, E. P.; Batura, T. V.
2022Multi-country analysis of the COVID-19 pandemic typology using machine learning algorithmsMalugin, V. I.; Kornievich, A. K.
2022Labor market: problems and surveysBokun, N.
2022On stationary distribution for high-order Markov chainsLappo, P. M.
2022Random search in neural networks trainingKrasnoproshin, V. V.; Matskevich, V. V.
2022Quasi-optimal conflict Cox-Lewis flows controlKudryavtsev, E. V.; Fedotkin, M. A.
2022Simulation algorithm for the retrial queueing systems and networksKosarava, K. U.
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