Regenerative simulation of time-sharing queueing system in random environment | Zorine, A. V. |
Implementation of generalized additive models for spatial beta regression | Zikariene, E.; Ducinskas, K. |
Number of pairs of identically marked templates in q-ary tree | Zubkov, A. M.; Kruglov, V. I. |
Discrete-valued time series analysis by parsimonious high-order Markov chains | Kharin, Yu. S. |
Multiclass support vector machines with GenSVM | Groenen, P. J. F.; van den Burg, G. J. J. |
A random graph generation model for transcription networks and nonparametric simulator for RNA-seq expression data | Grimes, T.; Datta, S. |
Formula for European options costs calculation | Zuev, N. M. |
Internally homogeneous random fields analysis | Tsekhavaya, T. V.; Troush, N. N. |
Meteorological data influence on missing vessel type detection using deep multi-stacked LSTM neural network | Venskus, J.; Treigys, P. |
A generalized probabilistic model of computer proof of the Artin hypothesis | Vostrov, G.; Opiata, R. |
Stochastic analysis of the smooth number properties and their search | Vostrov, G.; Ponomarenko, O. |
Non-asymptotic confidence estimation of the autoregressive parameter in AR(1) process with an unknown noise variance | Vorobeychikov, S. E.; Burkatovskaya, Yu. B. |
On some upper bounds for noncentral chi-square cdf | Voloshko, V. A.; Vecherko, E. V. |
Principle components method in statistical classification and its efficiency | Zhuk, E. E. |
Some formulas of operator interpolation on the set of random processes | Yanovich, L. A.; Ignatenko, M. V. |
Empirical likelihood confidence intervals for censored integrals | Zakhidov, D. G.; Iskandarov, D. Kh. |
Drift parameter estimation in Gaussian regression model by continuous and discrete observations | Ralchenko, K. |
Testing the NIST Statistical Test Suite on artificial pseudorandom sequences | Serov, A. A.; Zubkov, A. M. |
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. |
A set of asymptotically independent statistics of polynomial frequencies containing the Pearson statistic | Savelov, M. P. |
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. |
Problems of the formation of the system of environmental-economic accounting | Poleshchuk, E. A. |
Structural distribution estimation | Radavicius, M. |
Adaptive methods for forecasting currency courses | Soshnikova, L. A. |
Conformal predictors for reliable pattern recognition | Gammerman, A. |
Finding significant variables in the problems of modelling less memory processes | Mihov, E. D. |
Comparative analysis of optimal algorithms treatment of stationary Poisson fluxes | Nikitionak, V. I.; Vetokhin, S. S.; Bakhar, A. M.; Tereshko, E. V. |
Using credit history data to monitor financial stability of the Belarusian economy | Novopoltsev, A. Yu. |
Identification of mineralization in geochemistry based on the spatial curvature of log-ratios | Miksova, D.; Rieser, C.; Filzmoser, P. |
Fluid limits for the waiting time of a customer in multiphase queues | Minkevicius, S. |
Nonparametric modeling of multidimensional memoryless processes | Medvedev, A. V.; Tereshina, A. V.; Yareshenko, D. I. |
Integrals related to the multidimensional-matrix Gaussian distribution | Mukha, V. S.; Kako, N. F. |
Robust and sparse k-means clustering for high-dimensional data | Filzmoser, P.; Brodinova S.; Ortner, T.; Breitender, C.; Rohm, M. |
Overview of speech synthesis using LSTM neural networks | Navickas, G.; Korvel, G.; Bernataviciene, J. |
Application of open Markov networks with various features at modeling real objects | Kopats, D.; Matalytski, M. |
About the processes in the changing fractional dimension space | Kornet, M. E.; Medvedev, A. V.; Mihov, E. D. |
Statistical approach to image compression based on a restricted Boltzmann machine | Krasnoproshin, V. V.; Matskevich, V. V. |
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. |
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. |
Probabilistic data analysis for predicting mean time before critical integrity losses of complex system when explicit quantitative requirements to integrity are not specified | Kostogryzov, A.; Nistratov, A.; Nistratov, G. |
New method to minimize the stress in multidimensional scaling | Dzemyda, G.; Sabaliauskas, M. |
Analysis of financial stability of the Belarusian economy based on microdata and expert information | Malugin, V. I.; Novopoltsev, A. Yu.; Hryn, N. V. |
Statistical properties of parameter estimators in the fractional Vasicek model | Lohvinenko, S. S. |
Influence of the training set on the prediction stability in estimation of acute pancreatitis severity | Mangalova, E.; Chubarova, O.; Melekh, D. |
Detecting changes in the dependence structure of a time series | Dürre, A.; Fried, R. |
Expected error rate in linear discrimination of balanced spatial Gaussian time series | Karaliute, M.; Ducinskas, K.; Saltyte-Vaisiauske, L. |
On some new aspects in acquisition and analysis of brain electrical activity | Kolchin, A. V.; Ionkina, H. G. |
On statistical estimation of transition probabilities matrix for Markov chain under incomplete observations | Kharin, Yu. S.; Dernakova, O. V. |
Performance and robustness in sequential testing of hypotheses | Kharin, A. Yu.; Ton That Tu |
Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data | Hubin, A.; Storvik, G.; Grini, P.; Butenko, M. |
Simulation of adaptive control system with conflict flows of non-homogeneous requests | Fedotkin, M. A.; Kudryavtsev, E. V. |
Statistical analysis of count conditionally nonlinear autoregressive time series by frequencies-based estimators | Kharin, Yu. S.; Kislach, M. I. |
Modeling baltic market indices: a comparison of models | Belovas, I. |
Predicting the success of antegrade chronic total occlusion recanalization using machine learning | Abramovich, M. S.; Kozlovsky, V. V.; Stelmashok, V. I.; Polonetsky, O. L. |
Tourism in Belarus: indicators, satellite account and surveys | Bokun, N. |
Approximate formulas for expectation of functionals from solution to linear Skorohod stochastic differential equation | Egorov, A. D.; Zherelo, A. V. |
Probabilistic approach in factorization by elliptic curve method | Dermenzhy, I.; Vostrov, G. |
On parameter estimation of double-censored stationary Gaussian time series | Badziahin, I. A. |
Spatial model selection based on hybrid performance measure of linear classifier | Ducinskas, K.; Dreiziene, L. |
Recent results on the total variation distance | Zubkov, A. M. |
Robust analogs of the Qn-estimate of scale for the Student distributions | Shevlyakov, G. L.; Shirokov, I. S.; Litvinova, V. G. |
On the upper bound of the risk in selection of the T best items | Stoimenova, E. |
Investigation of conditions for asymptotic normality of spectral estimates | Sakhno, L. M. |
Estimation of conditional survival function under dependent random censored data | Abdushukurov, A. A. |
Functional graphical model classification | Li, P.; Maiti, T. |
Fractional stochastic volatility: F-Ornstein–Uhlenbeck and F-CIR processes | Mishura, Yu. |
Approximation of density functions using simplicial splines | Machalova, J.; Talska, R.; Hron, K. |
Testing structure of the covariance matrix: a non-normal approach | Kollo, T.; von Rosen, D.; Valge, M. |
Some results on the Brownian meander | Orsingher, E. |
Minimum distance index for non-square complex valued mixing matrices | Lietzen, N.; Virta, J.; Nordhausen, K.; Ilmonen, P. |
Power skew symmetric distributions: tests for symmetry | Rattihalli, R. N.; Raghunath, M. |
Hurst parameter estimation in fractional diffusion models | Kubilius, K. |
Inducing a target association between ordinal variables by using a parametric copula family | Barbiero, A. |
Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019 | - |