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  1. 2026

  2. Modelling of random processes and fields based on randomized piecewise constant replenishment of discrete argument processes and Palm flows with summation of their trajectories

    Akenteva, M. S., Kargapolova, N. A., Ogorodnikov, V. A. & Li, S., 6 Feb 2026, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 41, 1, p. 1-13 13 p.

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

  3. 2024

  4. An Approximate Algorithm for Simulating Stationary Discrete Random Processes with Bivariate Distributions of Their Consecutive Components in the Form of Mixtures of Gaussian Distributions

    Ogorodnikov, V. A., Akenteva, M. S. & Kargapolova, N. A., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 169-173 5 p.

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

  5. Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator

    Akenteva, M. S. & Kargapolova, N. A., Mar 2024, In: Russian Meteorology and Hydrology. 49, 3, p. 230-239 10 p.

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

  6. 2023

  7. 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

  8. 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

  9. 2022

  10. Stochastic Model of Conditional Non-stationary Time Series of the Wind Chill Index in West Siberia

    Kargapolova, N. & Ogorodnikov, V., Sept 2022, In: Methodology and Computing in Applied Probability. 24, 3, p. 1467-1483 17 p.

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

  11. 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

  12. 2021

  13. 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

  14. 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

  15. Stochastic models of joint non-stationary time-series of air temperature, relative humidity and atmospheric pressure

    Kargapolova, N. A., Khlebnikova, E. I. & Ogorodnikov, V. A., 2021, In: Communications in Statistics: Simulation and Computation. 50, 12, p. 3972-3983 12 p.

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

  16. 2020

  17. Stochastic model of spatial fields of the average daily wind chill index

    Kargapolova, N., 1 Apr 2020, In: Information (Switzerland). 11, 4, 13 p., 177.

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

  18. Stochastic simulation of the spatio-temporal field of the average daily heat index in southern Russia

    Kargapolova, N., 2020, In: Climate Research. 82, p. 149-160 12 p.

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

  19. 2019

  20. 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

  21. Stochastic models of non-stationary time series of the average daily heat index

    Kargapolova, N., 1 Jan 2019, SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Obaidat, M., Obaidat, M., Oren, T. & Szczerbicka, H. (eds.). SciTePress, p. 209-215 7 p. (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).

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

  22. 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

  23. Stoсhastic model of the time series of the average daily bioclimatic index of severity of climatic regime

    Kargapolova, N. A., 1 Jan 2019, 33rd Annual European Simulation and Modelling Conference 2019, ESM 2019. Fuster-Parra, P. & Sierra, O. V. (eds.). EUROSIS, p. 185-189 5 p. (33rd Annual European Simulation and Modelling Conference 2019, ESM 2019).

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

  24. 2018

  25. 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

  26. 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

  27. Stochastic model of the joint time-series of air temperature and atmospheric pressure

    Kargapolova, N. A., 1 Jan 2018, 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018. Limere, V. & Claeys, D. (eds.). EUROSIS, p. 199-204 6 p.

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

  28. 2017

  29. 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. Новосибирский государственный технический университет, p. 298-302 5 p.

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

  30. 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

  31. 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. (SIMULTECH 2017 - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).

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

ID: 3436642