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Tyrsin Alexander Nikolayevich

Publications in Math-Net.Ru

  1. Robust regression modelling: interior point methods, simplex method, descent along nodal straight lines

    Avtomat. i Telemekh., 2025, no. 3,  100–118
  2. Descent аlong nodal straight lines in robust monitoring problems of dynamic regression models

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2025, no. 2,  51–63
  3. 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
  4. Well interaction modeling to analyze flooding systems efficiency on small data samples

    UBS, 111 (2024),  247–265
  5. Increasing reliability of well interaction modeling for analysis of flooding system efficiency

    Mat. Model., 35:6 (2023),  63–80
  6. Risk indicators of cascading failures in interconnected network structures

    UBS, 102 (2023),  76–98
  7. Entropy modeling of network structures

    Avtomat. i Telemekh., 2022, no. 10,  144–155
  8. Improvement of the accuracy of solution of tasks for the account of the construction of boundary conditions

    Inform. Primen., 14:1 (2020),  56–62
  9. 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
  10. A model of risk management in Gaussian stochastic systems

    Inform. Primen., 12:2 (2018),  50–59
  11. 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
  12. Models of monitoring and management of risk in Gaussian stochastic systems

    Tambov University Reports. Series: Natural and Technical Sciences, 23:124 (2018),  776–783
  13. 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
  14. Entropy management of Gaussian stochastic systems

    J. Comp. Eng. Math., 4:4 (2017),  38–52
  15. 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
  16. Recognition of dependences on the basis of inverse mapping

    Inform. Primen., 10:2 (2016),  58–64
  17. Assessment of health status of a population on the basis of entropy modeling

    Mat. Biolog. Bioinform., 10:1 (2015),  206–219
  18. Study of the dynamics of multidimensional stochastic systems based on entropy modeling

    Inform. Primen., 7:4 (2013),  3–10
  19. Entropy-probabilistic modeling of Gaussian stochastic systems

    Mat. Model., 24:1 (2012),  88–102
  20. Робастное оценивание линейных регрессионных моделей на основе обобщенного метода наименьших модулей

    Matem. Mod. Kraev. Zadachi, 4 (2010),  128–130
  21. Повышение точности построения эмпирической плотности распределения

    Matem. Mod. Kraev. Zadachi, 4 (2010),  92–95
  22. 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
  23. Эффективные вычислительные алгоритмы построения регрессионных моделей на основе обобщённого метода наименьших модулей

    Matem. Mod. Kraev. Zadachi, 4 (2009),  137–139
  24. Повышение точности оценки энтропии случайных экспериментальных данных

    Matem. Mod. Kraev. Zadachi, 4 (2009),  133–136
  25. Построение авторегрессионных моделей в условиях статистической неоднородности данных

    Matem. Mod. Kraev. Zadachi, 2 (2006),  160–164
  26. Autoregressive model definition of the time series at presence of hindrances

    Mat. Model., 17:5 (2005),  10–16
  27. Построении авторегрессионных моделей процессов в условиях аддитивного белого шума

    Matem. Mod. Kraev. Zadachi, 2 (2005),  248–251
  28. Robust regression models definition on base of generalised method of least modules

    Zap. Nauchn. Sem. POMI, 328 (2005),  236–250
  29. О построении экстраполяционных динамических моделей процессов и зависимостей

    Matem. Mod. Kraev. Zadachi, 2 (2004),  254–257


© Steklov Math. Inst. of RAS, 2026