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  1. 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

  2. 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

  3. Approximate spectral models of random processes with periodic properties

    Medvyatskaya, A. M. & Ogorodnikov, V. A., 1 Dec 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 6, p. 353-360 8 p.

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

  4. 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

  5. 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

  6. Correlation structure of the piecewise linear process on the poisson flow

    Ogorodnikov, V. A. & Sereseva, O. V., 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. 292-297 6 p.

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

  7. 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

  8. 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

  9. 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

  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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