Просмотр "2019. Computer Data Analysis and Modeling : Stochastics and Data Science" Заглавия
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| Предварительный просмотр | Дата выпуска | Заглавие | Автор(ы) |
| 2019 | A generalized probabilistic model of computer proof of the Artin hypothesis | Vostrov, G.; Opiata, R. |
| 2019 | A random graph generation model for transcription networks and nonparametric simulator for RNA-seq expression data | Grimes, T.; Datta, S. |
| 2019 | A set of asymptotically independent statistics of polynomial frequencies containing the Pearson statistic | Savelov, M. P. |
| 2019 | About the processes in the changing fractional dimension space | Kornet, M. E.; Medvedev, A. V.; Mihov, E. D. |
| 2019 | Adaptive methods for forecasting currency courses | Soshnikova, L. A. |
| 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 | Application of open Markov networks with various features at modeling real objects | Kopats, D.; Matalytski, M. |
| 2019 | Approximate formulas for expectation of functionals from solution to linear Skorohod stochastic differential equation | Egorov, A. D.; Zherelo, A. V. |
| 2019 | Approximation of density functions using simplicial splines | Machalova, J.; Talska, R.; Hron, K. |
| 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. |
| 2019 | Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data | Hubin, A.; Storvik, G.; Grini, P.; Butenko, M. |
| 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 | Comparative analysis of optimal algorithms treatment of stationary Poisson fluxes | Nikitionak, V. I.; Vetokhin, S. S.; Bakhar, A. M.; Tereshko, E. V. |
| 2019 | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019 | - |
| 2019 | Conformal predictors for reliable pattern recognition | Gammerman, A. |
| 2019 | Detecting changes in the dependence structure of a time series | Dürre, A.; Fried, R. |
| 2019 | Discrete-valued time series analysis by parsimonious high-order Markov chains | Kharin, Yu. S. |
| 2019 | Drift parameter estimation in Gaussian regression model by continuous and discrete observations | Ralchenko, K. |
| 2019 | Empirical likelihood confidence intervals for censored integrals | Zakhidov, D. G.; Iskandarov, D. Kh. |
| 2019 | Estimation of conditional survival function under dependent random censored data | Abdushukurov, A. A. |
