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

Issue Date Author Title Subject

2019. Computer Data Analysis and Modeling : Stochastics and Data Science : [74] Collection home page

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.

Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 74

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Issue Date	Title	Author(s)
2019	A random graph generation model for transcription networks and nonparametric simulator for RNA-seq expression data	Grimes, T.; Datta, S.
2019	Implementation of generalized additive models for spatial beta regression	Zikariene, E.; Ducinskas, K.
2019	Multiclass support vector machines with GenSVM	Groenen, P. J. F.; van den Burg, G. J. J.
2019	Regenerative simulation of time-sharing queueing system in random environment	Zorine, A. V.
2019	Number of pairs of identically marked templates in q-ary tree	Zubkov, A. M.; Kruglov, V. I.
2019	Formula for European options costs calculation	Zuev, N. M.
2019	Discrete-valued time series analysis by parsimonious high-order Markov chains	Kharin, Yu. S.
2019	A generalized probabilistic model of computer proof of the Artin hypothesis	Vostrov, G.; Opiata, R.
2019	Non-asymptotic confidence estimation of the autoregressive parameter in AR(1) process with an unknown noise variance	Vorobeychikov, S. E.; Burkatovskaya, Yu. B.
2019	Meteorological data influence on missing vessel type detection using deep multi-stacked LSTM neural network	Venskus, J.; Treigys, P.
2019	On some upper bounds for noncentral chi-square cdf	Voloshko, V. A.; Vecherko, E. V.
2019	Empirical likelihood confidence intervals for censored integrals	Zakhidov, D. G.; Iskandarov, D. Kh.
2019	Internally homogeneous random fields analysis	Tsekhavaya, T. V.; Troush, N. N.
2019	Principle components method in statistical classification and its efficiency	Zhuk, E. E.
2019	Some formulas of operator interpolation on the set of random processes	Yanovich, L. A.; Ignatenko, M. V.
2019	Stochastic analysis of the smooth number properties and their search	Vostrov, G.; Ponomarenko, O.
2019	Conformal predictors for reliable pattern recognition	Gammerman, A.
2019	Statistical classification of the states of biological cells treated with carbon nanotubes based on AFM-images of cell surface	Starodubtsev, I. E.; Kharin, Yu. S.; Starodubtseva, M. N.
2019	Adaptive methods for forecasting currency courses	Soshnikova, L. A.
2019	Testing the NIST Statistical Test Suite on artificial pseudorandom sequences	Serov, A. A.; Zubkov, A. M.

Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 74

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2019. Computer Data Analysis and Modeling : Stochastics and Data Science : [74] Collection home page

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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