Электронная библиотека БГУ: 2019. Computer Data Analysis and Modeling : Stochastics and Data Science

Даты публикации Авторы Заглавия Темы

2019. Computer Data Analysis and Modeling : Stochastics and Data Science : [74] Главная страница коллекции Статистика

This collection of papers includes proceedings of the Twelfth International Conference “Computer Data Analysis and Modeling: Stochastics and Data Science” organized by the Belarusian State University and held in September 2019 in Minsk. Papers are reviewed by qualified researchers from Austria, Belarus, Lithuania, Russia, Ukraine.

The papers are devoted to the topical problems: robust and nonparametric data analysis; statistical analysis of time series and forecasting; multivariate data analysis; design of experiments; probability and statistical analysis of discrete data; econometric analysis and modeling; survey analysis and official statistics; computer intensive methods, algorithms and software; 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 Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – 355 p.

Editors:

Prof. Dr. P. Filzmoser, Prof. Dr. Yu. Kharin

ISBN 978-985-566-811-5

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 74

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Дата выпуска	Заглавие	Автор(ы)
2019	Structural distribution estimation	Radavicius, M.
2019	Drift parameter estimation in Gaussian regression model by continuous and discrete observations	Ralchenko, K.
2019	A set of asymptotically independent statistics of polynomial frequencies containing the Pearson statistic	Savelov, M. P.
2019	Use of variability of the heart rhythm for predicting the success of the operator’s work when using human-machine interfaces	Podolskiy, V. A.; Turovskiy, Ya. A.; Alekseev, A. V.; Mikhalskii, A. I.
2019	Problems of the formation of the system of environmental-economic accounting	Poleshchuk, E. A.
2019	Comparative analysis of optimal algorithms treatment of stationary Poisson fluxes	Nikitionak, V. I.; Vetokhin, S. S.; Bakhar, A. M.; Tereshko, E. V.
2019	Identification of mineralization in geochemistry based on the spatial curvature of log-ratios	Miksova, D.; Rieser, C.; Filzmoser, P.
2019	Nonparametric modeling of multidimensional memoryless processes	Medvedev, A. V.; Tereshina, A. V.; Yareshenko, D. I.
2019	Overview of speech synthesis using LSTM neural networks	Navickas, G.; Korvel, G.; Bernataviciene, J.
2019	Finding significant variables in the problems of modelling less memory processes	Mihov, E. D.
2019	Using credit history data to monitor financial stability of the Belarusian economy	Novopoltsev, A. Yu.
2019	Fluid limits for the waiting time of a customer in multiphase queues	Minkevicius, S.
2019	Integrals related to the multidimensional-matrix Gaussian distribution	Mukha, V. S.; Kako, N. F.
2019	Robust and sparse k-means clustering for high-dimensional data	Filzmoser, P.; Brodinova S.; Ortner, T.; Breitender, C.; Rohm, M.
2019	Application of open Markov networks with various features at modeling real objects	Kopats, D.; Matalytski, M.
2019	Analysis of financial stability of the Belarusian economy based on microdata and expert information	Malugin, V. I.; Novopoltsev, A. Yu.; Hryn, N. V.
2019	Statistical properties of parameter estimators in the fractional Vasicek model	Lohvinenko, S. S.
2019	Statistical approach to image compression based on a restricted Boltzmann machine	Krasnoproshin, V. V.; Matskevich, V. V.
2019	Classification of Motion Regions with Convolutional Networks, Support Vector Machines, and Random Forests in Video-Based Analysis of Bee Traffic	Kulyukin, V. A.; Mukherjee, S.; Vats, P.; Tiwari, A.; Burkatovskaya, Y. B.
2019	Asymptotic expansions of solutions of mixed type SDE driven by fractional Brownian motions for small times	Levakov, A. A.; Vaskouski, M. M.; Kachan, I. V.

Ресурсы коллекции (Сортировка по Дата поступления в По убыванию порядке): 21 по 40 из 74

< предыдущий следующий >

2019. Computer Data Analysis and Modeling : Stochastics and Data Science : [74] Главная страница коллекции Статистика

Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – 355 p.

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