1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

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