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Publications in Math-Net.Ru
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Robust regression modelling: interior point methods, simplex method, descent along nodal straight lines
Avtomat. i Telemekh., 2025, no. 3, 100–118
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Descent аlong nodal straight lines in robust monitoring problems of dynamic regression models
Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2025, no. 2, 51–63
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Iterative convex estimation of linear regression models under data stochastic heterogeneity
Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 29:2 (2025), 294–318
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Well interaction modeling to analyze flooding systems efficiency on small data samples
UBS, 111 (2024), 247–265
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Increasing reliability of well interaction modeling for analysis of flooding system efficiency
Mat. Model., 35:6 (2023), 63–80
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Risk indicators of cascading failures in interconnected network structures
UBS, 102 (2023), 76–98
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Entropy modeling of network structures
Avtomat. i Telemekh., 2022, no. 10, 144–155
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Improvement of the accuracy of solution of tasks for the account of the construction of boundary conditions
Inform. Primen., 14:1 (2020), 56–62
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Application of generalized method of least modules in problems of processing and analysing images
Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2020, no. 2, 45–55
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A model of risk management in Gaussian stochastic systems
Inform. Primen., 12:2 (2018), 50–59
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Nonlinear filtering of noisy contrast images based on the generalized method of the least absolute values
J. Comp. Eng. Math., 5:2 (2018), 58–69
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Models of monitoring and management of risk in Gaussian stochastic systems
Tambov University Reports. Series: Natural and Technical Sciences, 23:124 (2018), 776–783
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Exact evaluation of linear regression models by the least absolute deviations method based on the descent through the nodal straight lines
Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 10:2 (2018), 47–56
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Entropy management of Gaussian stochastic systems
J. Comp. Eng. Math., 4:4 (2017), 38–52
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The method of selecting the best distribution law for continuous random variables on the basis of inverse mapping
Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 9:1 (2017), 31–38
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Recognition of dependences on the basis of inverse mapping
Inform. Primen., 10:2 (2016), 58–64
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Assessment of health status of a population on the basis of entropy modeling
Mat. Biolog. Bioinform., 10:1 (2015), 206–219
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Study of the dynamics of multidimensional stochastic systems based on entropy modeling
Inform. Primen., 7:4 (2013), 3–10
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Entropy-probabilistic modeling of Gaussian stochastic systems
Mat. Model., 24:1 (2012), 88–102
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Робастное оценивание линейных регрессионных моделей на основе обобщенного метода наименьших модулей
Matem. Mod. Kraev. Zadachi, 4 (2010), 128–130
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Повышение точности построения эмпирической плотности распределения
Matem. Mod. Kraev. Zadachi, 4 (2010), 92–95
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Linear regression estimation using generalized least absolute deviations
Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 5(21) (2010), 134–142
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Эффективные вычислительные алгоритмы построения регрессионных моделей на основе обобщённого метода наименьших модулей
Matem. Mod. Kraev. Zadachi, 4 (2009), 137–139
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Повышение точности оценки энтропии случайных экспериментальных данных
Matem. Mod. Kraev. Zadachi, 4 (2009), 133–136
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Построение авторегрессионных моделей в условиях статистической неоднородности данных
Matem. Mod. Kraev. Zadachi, 2 (2006), 160–164
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Autoregressive model definition of the time series at presence of hindrances
Mat. Model., 17:5 (2005), 10–16
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Построении авторегрессионных моделей процессов в условиях аддитивного белого шума
Matem. Mod. Kraev. Zadachi, 2 (2005), 248–251
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Robust regression models definition on base of generalised method of least modules
Zap. Nauchn. Sem. POMI, 328 (2005), 236–250
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О построении экстраполяционных динамических моделей процессов и зависимостей
Matem. Mod. Kraev. Zadachi, 2 (2004), 254–257
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