Просмотр "2019. Computer Data Analysis and Modeling : Stochastics and Data Science" По дате выпуска
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Предварительный просмотр | Дата выпуска | Заглавие | Автор(ы) |
| 2019 | Detecting changes in the dependence structure of a time series | Dürre, A.; Fried, R. |
| 2019 | Power skew symmetric distributions: tests for symmetry | Rattihalli, R. N.; Raghunath, M. |
| 2019 | Approximation of density functions using simplicial splines | Machalova, J.; Talska, R.; Hron, K. |
| 2019 | Robust analogs of the Qn-estimate of scale for the Student distributions | Shevlyakov, G. L.; Shirokov, I. S.; Litvinova, V. G. |
| 2019 | Estimation of conditional survival function under dependent random censored data | Abdushukurov, A. A. |
| 2019 | Probabilistic approach in factorization by elliptic curve method | Dermenzhy, I.; Vostrov, G. |
| 2019 | Statistical analysis of count conditionally nonlinear autoregressive time series by frequencies-based estimators | Kharin, Yu. S.; Kislach, M. I. |
| 2019 | Hurst parameter estimation in fractional diffusion models | Kubilius, K. |
| 2019 | On parameter estimation of double-censored stationary Gaussian time series | Badziahin, I. A. |
| 2019 | Fractional stochastic volatility: F-Ornstein–Uhlenbeck and F-CIR processes | Mishura, Yu. |
| 2019 | Recent results on the total variation distance | Zubkov, A. M. |
| 2019 | Predicting the success of antegrade chronic total occlusion recanalization using machine learning | Abramovich, M. S.; Kozlovsky, V. V.; Stelmashok, V. I.; Polonetsky, O. L. |
| 2019 | Investigation of conditions for asymptotic normality of spectral estimates | Sakhno, L. M. |
| 2019 | Tourism in Belarus: indicators, satellite account and surveys | Bokun, N. |
| 2019 | Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data | Hubin, A.; Storvik, G.; Grini, P.; Butenko, M. |
| 2019 | On some new aspects in acquisition and analysis of brain electrical activity | Kolchin, A. V.; Ionkina, H. G. |
| 2019 | Simulation of adaptive control system with conflict flows of non-homogeneous requests | Fedotkin, M. A.; Kudryavtsev, E. V. |
| 2019 | On statistical estimation of transition probabilities matrix for Markov chain under incomplete observations | Kharin, Yu. S.; Dernakova, O. V. |
| 2019 | Application of open Markov networks with various features at modeling real objects | Kopats, D.; Matalytski, M. |
| 2019 | Performance and robustness in sequential testing of hypotheses | Kharin, A. Yu.; Ton That Tu |