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Pergamenshchikov Sergey Markovich

Publications in Math-Net.Ru

  1. Hedging problem for the Asian call options with transaction costs

    Teor. Veroyatnost. i Primenen., 68:2 (2023),  253–276
  2. Super-efficient robust estimation in Lévy continuous time regression models from discrete data

    Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2023, no. 85,  22–31
  3. Approximate hedging with constant proportional transaction costs in financial markets with jumps

    Teor. Veroyatnost. i Primenen., 65:2 (2020),  281–311
  4. Improved model selection method for an adaptive estimation in semimartingale regression models

    Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2019, no. 58,  14–31
  5. Sequential $\delta$-optimal consumption and investment for stochastic volatility markets with unknown parameters

    Teor. Veroyatnost. i Primenen., 60:4 (2015),  628–659
  6. Estimation of the regression with a pulse noise by discrete time observations

    Teor. Veroyatnost. i Primenen., 58:3 (2013),  454–471
  7. Nonparametric estimation in a semimartingale regression model. Part 2. Robust asymptotic efficiency

    Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2009, no. 4(8),  31–45
  8. Non-parametric estimation in a semimartingale regression model. Part 1. Oracle inequalities

    Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2009, no. 3(7),  23–41
  9. Nonparametric Estimation for an Autoregressive Model

    Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2008, no. 2(3),  20–30
  10. On the Guaranteed Parameter Estimation in Linear Regression Subject to Dependent Noise

    Avtomat. i Telemekh., 1997, no. 2,  75–87
  11. Guaranteed Estimation of a Periodic Signal Distorted by an Autoregressive Noise with Unknown Parameters

    Probl. Peredachi Inf., 33:4 (1997),  26–44
  12. The prescribed precision estimators of the autoregression parameter using the generalized least square method

    Teor. Veroyatnost. i Primenen., 41:4 (1996),  765–784
  13. On the estimation of an autoregressive parameter on the basis of the generalized method of least squares

    Uspekhi Mat. Nauk, 50:6(306) (1995),  187–188
  14. Large deviations for solutions of singularly perturbed stochastic differential equations

    Uspekhi Mat. Nauk, 50:5(305) (1995),  147–172
  15. Asymptotic expansions for a model with distinguished “fast” and “slow” variables, described by a system of singularly perturbed stochastic differential equations

    Uspekhi Mat. Nauk, 49:4(298) (1994),  3–46
  16. Guaranteed estimation of autoregression parameters on the basis of a sequential correlational method

    Trudy Mat. Inst. Steklov., 202 (1993),  149–169
  17. Sequential Parameter Estimation with Guaranteed Mean-Square Accuracy for Unstable Linear Stochastic Systems

    Probl. Peredachi Inf., 28:4 (1992),  35–48
  18. Sequential Estimation of the Parameter of a Stochastic Difference Equation with Random Coefficients

    Teor. Veroyatnost. i Primenen., 37:3 (1992),  482–501
  19. Sets of accesibility for controlled stochastic differential equations

    Uspekhi Mat. Nauk, 46:1(277) (1991),  209–210
  20. Asymptotic properties of a sequential plan for estimating a first-order autoregression parameter

    Teor. Veroyatnost. i Primenen., 36:1 (1991),  42–53
  21. Singularly perturbed stochastic equations and partial differential equations

    Dokl. Akad. Nauk SSSR, 311:5 (1990),  1039–1042
  22. Singular perturbations of stochastic differential equations

    Mat. Sb., 181:9 (1990),  1170–1182
  23. On guaranteed parameter estimation for unstable dynamic systems

    Avtomat. i Telemekh., 1988, no. 11,  130–141
  24. On Sequential Estimation of Parameters of Diffusion Processes

    Probl. Peredachi Inf., 21:1 (1985),  48–61
  25. Asymptotic normality of sequential parameter estimation for dynamic systems

    Avtomat. i Telemekh., 1984, no. 12,  56–63
  26. Successive procedures of parameter identification in dynamic systems

    Avtomat. i Telemekh., 1981, no. 7,  84–92

  27. In memory of Prof. G. G. Pestov: life and scientific-educational activity

    Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2015, no. 5(37),  103–114


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