Просмотр "2022. Computer Data Analysis and Modeling: Stochastics and Data Science" Заглавия
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| Предварительный просмотр | Дата выпуска | Заглавие | Автор(ы) |
| 2022 | A goodness-of-fit Lempel-Ziv test for equiprobable binary sequences | Kruglov, V. I. |
| 2022 | Analysis of chaotic process forecast effectiveness based on terminal indicators of management quality | Musaev, A. A.; Grigoriev, D. A. |
| 2022 | Aspect extraction from scientific texts | Marshalova, A. E.; Bruches, E. P.; Batura, T. V. |
| 2022 | Complex 5-component oscillator as a tool of technical analysis in algorithmic trading | Zhalezka, B. A.; Stadnik, A. O.; Siniavskaya, V. A. |
| 2022 | Computation of distributions of the Kolmogorov-Smirnov statistic for finite samples | Filina, M. V.; Zubkov, A. M. |
| 2022 | 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.] | - |
| 2022 | Coupon collector’s problem for two special discrete renewal processes | Chernousova, E.; Molchanov, S. |
| 2022 | Design of complex integrated systems | Kochyn, V. P. |
| 2022 | Dynamic three-factor production functions with hicks-neutral technological progress | Pranevich, A. F.; Khatskevich, G. A. |
| 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 | G-network with balancers | Kopats, D. |
| 2022 | Game-theoretic models of corruption | Kolokoltsov, V. N. |
| 2022 | Investigation of the statistical security of a pseudo-random sequence generator | Nysanbayeva, S. E.; Kapalova, N. A.; Dyusenbayev, D. S.; Algazy, K. T.; Sakan, K. S. |
| 2022 | Labor market: problems and surveys | Bokun, N. |
| 2022 | Modeling the management of social processes through mass mailings | Zubov, S. V. |
| 2022 | Modeling the spatial effects of economic development of Belarus | Vysotski, S. |
| 2022 | Modifications of the imputation method for parameter estimation of censored autoregressive time series | Tsirul, E. A.; Badziahin, I. A. |
| 2022 | Multi-country analysis of the COVID-19 pandemic typology using machine learning algorithms | Malugin, V. I.; Kornievich, A. K. |
| 2022 | Notes on the independence of tests and on completeness of NIST package | Zubkov, A. M.; Serov, A. A. |
| 2022 | On discrete-valued time series based on multidimensional exponential family | Voloshko, V. A.; Kharin, Yu. S. |
