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  1. An Approximate Iterative Algorithm for Modeling of Non-Gaussian Vectors with Given Marginal Distributions and Covariance Matrix

    Akenteva, M. S., Kargapolova, N. A. & Ogorodnikov, V. A., Dec 2023, In: Numerical Analysis and Applications. 16, 4, p. 289-298 10 p.

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

  2. Conditional stochastic model of daily precipitation and river flow joint spatial field

    Kargapolova, N. A. & Ogorodnikov, V. A., 1 Jan 2017, 4th International Workshop Applied Methods of Statistical Analysis Nonparametric Methods in Cybernetics and System Analysis, AMSA 2017. Novosibirsk State Technical University, p. 298-302 5 p.

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

  3. Development of a numerical stochastic model of joint spatio-temporal fields of weather parameters for the south part of the Baikal natural territory

    Akenteva, M. S., Kargapolova, N. A. & Ogorodnikov, V. A., 1 Apr 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 2, p. 73-83 11 p.

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

  4. Development of a Stochastic Weather Generator for Simulating Meteorological Time Series in the Arctic Zone of the Russian Federation

    Akenteva, M. S. & Kargapolova, N. A., Jul 2023, In: Russian Meteorology and Hydrology. 48, 7, p. 614-623 10 p.

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

  5. Monte-Carlo simulation of daily precipitation and river flow conditional spatio-temporal fields

    Kargapolova, N. A., 1 Jan 2017, 31st Annual European Simulation and Modelling Conference 2017, ESM 2017. EUROSIS, p. 295-300 6 p.

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

  6. Monte carlo simulation of non-stationary air temperature time-series

    Kargapolova, N., 1 Jan 2018, SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. De Rango, F., Oren, T., Obaidat, M. S. & Obaidat, M. S. (eds.). SciTePress, p. 323-329 7 p. (SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).

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

  7. Monte Carlo simulation of the joint non-Gaussian periodically correlated time-series of air temperature and relative humidity

    Kargapolova, N., Khlebnikova, E. & Ogorodnikov, V., 1 Dec 2018, In: Statistical Papers. 59, 4, p. 1471-1481 11 p.

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

  8. Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia

    Kargapolova, N. A. & Ogorodnikov, V. A., 1 Feb 2021, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 36, 1, p. 33-42 10 p.

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

  9. Numerical Stochastic Model of Non-stationary Time Series of the Wind Chill Index

    Kargapolova, N., Mar 2021, In: Methodology and Computing in Applied Probability. 23, 1, p. 257-271 15 p., 2.

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

  10. Numerical study of properties of air heat content indicators based on stochastic models of the joint meteorological series

    Kargapolova, N. A., Khlebnikova, E. I. & Ogorodnikov, V. A., 1 Apr 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 2, p. 95-104 10 p.

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

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