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  1. 2021

  2. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2021, Москва: Юрайт. 323 p.

    Research output: Book/Report › Teaching manual › peer-review

  3. 2020

  4. A new kernel-projective statistical estimator in the Monte Carlo method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Dec 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 6, p. 341-353 13 p.

    Research output: Contribution to journal › Article › peer-review

  5. Numerically statistical investigation of the partly super-exponential growth rate in the COVID-19 pandemic (throughout the world)

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2020, In: Journal of Inverse and Ill-Posed Problems. 28, 6, p. 877-879 3 p.

    Research output: Contribution to journal › Article › peer-review

  6. New Statistical Kernel-Projection Estimator in the Monte Carlo Method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Jul 2020, In: Doklady Mathematics. 102, 1, p. 313-317 5 p.

    Research output: Contribution to journal › Article › peer-review

  7. Randomized exponential transformation algorithm for solving the stochastic problems of gamma-ray transport theory

    Medvedev, I. N. & Mikhailov, G. A., 1 Jun 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 3, p. 153-162 10 p.

    Research output: Contribution to journal › Article › peer-review

  8. The study of time dependence of particle flux with multiplication in a random medium

    Lotova, G. Z. & Mikhailov, G. A., 1 Feb 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 1, p. 11-20 10 p.

    Research output: Contribution to journal › Article › peer-review

  9. Monte Carlo Algorithms for Estimating Time Asymptotics of Multiplication Particle Flow in a Random Medium

    Mikhailov, G. A. & Lotova, G. Z., 1 Jan 2020, In: Doklady Mathematics. 101, 1, p. 40-42 3 p.

    Research output: Contribution to journal › Article › peer-review

  10. 2019

  11. Simulation of a random field with given distribution of one-dimensional integral

    Kablukova, E. G., Mikhailov, G. A., Ogorodnikov, V. A. & Prigarin, S. M., 1 Dec 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 6, p. 327-338 12 p.

    Research output: Contribution to journal › Article › peer-review

  12. Constructing a numerically statistical model of a homogeneous random field with a given distribution of the integral over one of the phase coordinates

    Mikhailov, G. A., Kablukova, E. G., Ogorodnikov, V. A. & Prigarin, S. M., Nov 2019, In: Doklady Mathematics. 100, 3, p. 529-532 4 p.

    Research output: Contribution to journal › Article › peer-review

  13. Improvement of Multidimensional Randomized Monte Carlo Algorithms with “Splitting”

    Mikhailov, G. A., 1 May 2019, In: Computational Mathematics and Mathematical Physics. 59, 5, p. 775-781 7 p.

    Research output: Contribution to journal › Article › peer-review

  14. Randomized Monte Carlo Algorithms for Problems with Random Parameters (“Double Randomization” Method)

    Mikhailov, G. A., 1 Apr 2019, In: Numerical Analysis and Applications. 12, 2, p. 155-165 11 p.

    Research output: Contribution to journal › Article › peer-review

  15. 2018

  16. Monte Carlo Methods for Estimating the Probability Distributions of Criticality Parameters of Particle Transport in a Randomly Perturbed Medium

    Mikhailov, G. A. & Lotova, G. Z., 1 Nov 2018, In: Computational Mathematics and Mathematical Physics. 58, 11, p. 1828-1837 10 p.

    Research output: Contribution to journal › Article › peer-review

  17. Monte Carlo Estimation of Functional Characteristics of Field Intensity of Radiation Passing through a Random Medium

    Ambos, A. Y. & Mikhailov, G. A., 1 Oct 2018, In: Numerical Analysis and Applications. 11, 4, p. 279-292 14 p.

    Research output: Contribution to journal › Article › peer-review

  18. Optimization of Randomized Monte Carlo Algorithms for Solving Problems with Random Parameters

    Mikhailov, G. A., 1 Sept 2018, In: Doklady Mathematics. 98, 2, p. 448-451 4 p.

    Research output: Contribution to journal › Article › peer-review

  19. Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process

    Mikhailov, G. A., Prigarin, S. M. & Rozhenko, S. A., 28 Aug 2018, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 33, 4, p. 253-263 11 p.

    Research output: Contribution to journal › Article › peer-review

  20. Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium

    Ambos, A. Y. & Mikhailov, G. A., 26 Jun 2018, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 33, 3, p. 161-171 11 p.

    Research output: Contribution to journal › Article › peer-review

  21. New monte carlo algorithm for evaluation of outgoing polarized radiation

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Jan 2018, Statistics and Simulation - IWS 8, Vienna, Austria, September 2015. Pilz, J., Rasch, D., Melas, VB. & Moder, K. (eds.). Springer New York, Vol. 231. p. 115-125 11 p. (Springer Proceedings in Mathematics & Statistics; vol. 231).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  22. New Monte Carlo Algorithms for Estimating Probability Moments of Criticality Parameters for a Scattering Process with Multiplication in Stochastic Media

    Mikhailov, G. A. & Lotova, G. Z., 1 Jan 2018, In: Doklady Mathematics. 97, 1, p. 6-10 5 p.

    Research output: Contribution to journal › Article › peer-review

  23. 2017

  24. Modifications of the standard vector Monte Carlo estimate for characteristics analysis of scattered polarized radiation

    Mikhailov, G. A., Prigarin, S. M. & Rozhenko, S. A., 1 Sept 2017, In: Doklady Mathematics. 96, 2, p. 461-464 4 p.

    Research output: Contribution to journal › Article › peer-review

  25. New Monte Carlo algorithms for investigation of criticality fluctuations in the particle scattering process with multiplication in stochastic media

    Ambos, A. Y., Lotova, G. & Mikhailov, G., 27 Jun 2017, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 32, 3, p. 165-172 8 p.

    Research output: Contribution to journal › Article › peer-review

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