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Golubev Georgii Ksenofontovich

Publications in Math-Net.Ru

  1. Overparameterized maximum likelihood tests for detection of sparse vectors

    Probl. Peredachi Inf., 59:1 (2023),  46–63
  2. On adaptive estimation of linear functionals from observations against white noise

    Probl. Peredachi Inf., 56:2 (2020),  95–111
  3. Noise level estimation in high-dimensional linear models

    Probl. Peredachi Inf., 54:4 (2018),  60–81
  4. On one problem in multichannel signal detection

    Probl. Peredachi Inf., 53:4 (2017),  69–83
  5. On risk concentration for convex combinations of linear estimators

    Probl. Peredachi Inf., 52:4 (2016),  31–48
  6. On limit distributions of the time of first passage over a high level

    Probl. Peredachi Inf., 51:2 (2015),  67–85
  7. On statistical problems in geolocation

    Probl. Peredachi Inf., 49:3 (2013),  57–85
  8. On interpolation of smooth processes and functions

    Probl. Peredachi Inf., 49:2 (2013),  34–57
  9. Exponential weighting and oracle inequalities for projection estimates

    Probl. Peredachi Inf., 48:3 (2012),  83–95
  10. On signal reconstruction in white noise using dictionaries

    Probl. Peredachi Inf., 45:4 (2009),  91–106
  11. On the Empirical Risk Minimization Method

    Probl. Peredachi Inf., 40:3 (2004),  21–32
  12. Method of Risk Envelopes in Estimation of Linear Functionals

    Probl. Peredachi Inf., 40:1 (2004),  58–72
  13. Reconstruction of Sparse Vectors in White Gaussian Noise

    Probl. Peredachi Inf., 38:1 (2002),  75–91
  14. Asymptotically Efficient Smoothing in the Wicksell Problem under Squared Losses

    Probl. Peredachi Inf., 37:1 (2001),  28–51
  15. On the Minimax Estimation Problem of a Fractional Derivative

    Teor. Veroyatnost. i Primenen., 46:4 (2001),  658–677
  16. How to Improve the Nonparametric Density Estimate in S-PLUS

    Probl. Peredachi Inf., 36:4 (2000),  80–88
  17. On Filtering for a Hidden Markov Chain under Square Performance Criterion

    Probl. Peredachi Inf., 36:3 (2000),  22–28
  18. A Statistical Approach to Some Inverse Problems for Partial Differential Equations

    Probl. Peredachi Inf., 35:2 (1999),  51–66
  19. Nonparametric estimation of smooth spectral densities of Gaussian stationary sequences

    Teor. Veroyatnost. i Primenen., 38:4 (1993),  775–786
  20. Sequential Experimental Design for Nonparametric Estimation of Smooth Regression Functions

    Probl. Peredachi Inf., 28:3 (1992),  76–79
  21. Asymptotic Minimax Estimation of Regression in the Additive Model

    Probl. Peredachi Inf., 28:2 (1992),  3–15
  22. Nonparametric Estimation of Smooth Probability Densities in $L_2$

    Probl. Peredachi Inf., 28:1 (1992),  52–62
  23. Adaptive Spline Estimates for Nonparametric Regression Models

    Teor. Veroyatnost. i Primenen., 37:3 (1992),  554–561
  24. Quasilinear filtering of Gaussian stationary sequences

    Teor. Veroyatnost. i Primenen., 36:4 (1991),  764–770
  25. Local asymptotic normality in problems of nonparametric estimation of functions, and lower bounds for quadratic risks

    Teor. Veroyatnost. i Primenen., 36:1 (1991),  143–149
  26. Nonparametric Estimation of the Regression Function in $L^2$

    Probl. Peredachi Inf., 26:3 (1990),  38–49
  27. Quasilinear Estimates of Signals in $L_2$

    Probl. Peredachi Inf., 26:1 (1990),  19–24
  28. On a method of calculation of car hanger control effectiveness parameters

    Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 1990, no. 5,  95–98
  29. Signal Delay Estimation in the Presence of Corrupting Parameters

    Probl. Peredachi Inf., 25:3 (1989),  3–12
  30. On Estimating the Period of a Signal of Unknown Shape Corrupted by White Noise

    Probl. Peredachi Inf., 24:4 (1988),  38–52
  31. Adaptive Asymptotically Minimax Estimators of Smooth Signals

    Probl. Peredachi Inf., 23:1 (1987),  57–67
  32. Extremal Problems in Minimax Estimation of Sequences

    Probl. Peredachi Inf., 21:3 (1985),  36–52
  33. Minimax Extrapolation of Functions

    Probl. Peredachi Inf., 20:2 (1984),  27–43
  34. On Minimax Estimation of Regression

    Probl. Peredachi Inf., 20:1 (1984),  56–64
  35. Limits distributions of stopping times in sequential hypotheses testing

    Teor. Veroyatnost. i Primenen., 29:2 (1984),  302–311
  36. Minimax Extrapolation of Sequences

    Probl. Peredachi Inf., 19:4 (1983),  31–42
  37. On the sequential hypotheses testing for signals in white Gaussian noise

    Teor. Veroyatnost. i Primenen., 28:3 (1983),  544–554
  38. On Minimax Filtering of Functions in $L_2$

    Probl. Peredachi Inf., 18:4 (1982),  67–75
  39. Fisher's method of scoring in the problem at estimating a frequency

    Zap. Nauchn. Sem. LOMI, 108 (1981),  22–44
  40. Estimation in white Gaussian noise by means of finite number of linear statistics

    Teor. Veroyatnost. i Primenen., 25:2 (1980),  278–290
  41. On Computation of Efficiency of Maximum-Likelihood Estimate When Observing a Discontinuous Signal in White Noise

    Probl. Peredachi Inf., 15:3 (1979),  61–69

  42. Mark Semenovich Pinsker. In Memoriam

    Probl. Peredachi Inf., 40:1 (2004),  3–5
  43. Review of Scientific Achievements of M. S. Pinsker

    Probl. Peredachi Inf., 32:1 (1996),  5–19
  44. Letter to the editors

    Probl. Peredachi Inf., 28:4 (1992),  109


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