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  1. Stochastic simulation of non-stationary meteorological time-series daily precipitation indicators, maximum and minimum air temperature simulation using latent and transformed Gaussian processes

    Kargapolova, N., 1 Jan 2017, SIMULTECH 2017 - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. De Rango, F., Oren, T. & Obaidat, M. S. (eds.). SciTePress, p. 173-179 7 p.

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

  2. Stochastic Simulation of Meteorological Non-Gaussian Joint Time-Series

    Kargapolova, N., 1 Jan 2019, Simulation and Modeling Methodologies, Technologies and Applications - 7th International Conference, SIMULTECH 2017, Revised Selected Papers. Springer, p. 117-127 11 p. (Advances in Intelligent Systems and Computing; vol. 873).

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

  3. Stochastic simulation of electron transport in a strong electrical field in low-dimensional heterostructures

    Kablukova, E., Sabelfeld, K. K., Protasov, D. & Zhuravlev, K., 1 Dec 2023, In: Monte Carlo Methods and Applications. 29, 4, p. 307-322 16 p.

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

  4. Stochastic simulation of a signal on a photodetector matrix of a laser navigation system

    Kablukova, E. G., Oshlakov, V. G. & Prigarin, S. M., 1 Feb 2023, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 38, 1, p. 13-21 9 p.

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

  5. Stochastic simulation of 3D distributions for laser pulses scattered in optical media

    Prigarin, S. M. & Mironova, D. E., 2016, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, 100351M. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10035).

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

  6. Stochastic Simulation Algorithms for Solving Transient Anisotropic Diffusion-recombination Equations and Application to Cathodoluminescence Imaging

    Sabelfeld, K. K. & Kireeva, A. E., 1 Dec 2022, In: Methodology and Computing in Applied Probability. 24, p. 3029-3048 20 p.

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

  7. Stochastic simulation algorithms for solving narrow escape diffusion problems by introducing a drift to the target

    Sabelfeld, K., 1 Jun 2020, In: Journal of Computational Physics. 410, 18 p., 109406.

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

  8. Stochastic simulation algorithms for solving a nonlinear system of drift–diffusion-Poisson equations of semiconductors

    Sabelfeld, K. K. & Kireeva, A., 15 Oct 2020, In: Physica A: Statistical Mechanics and its Applications. 556, 19 p., 124800.

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

  9. Stochastic quasi-Gaussian models of atmospheric clouds

    Kablukova, E. G., Ogorodnikov, V. A., Prigarin, S. M. & Yudin, M. S., 10 Dec 2019, In: IOP Conference Series: Earth and Environmental Science. 386, 1, 012043.

    Research output: Contribution to journal › Conference article › peer-review

  10. Stochastic projection methods and applications to some nonlinear inverse problems of phase retrieving

    Sabelfeld, K. K., 1 Jan 2018, In: Mathematics and Computers in Simulation. 143, p. 169-175 7 p.

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

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