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Publications in Math-Net.Ru
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Overparameterized maximum likelihood tests for detection of sparse vectors
Probl. Peredachi Inf., 59:1 (2023), 46–63
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On adaptive estimation of linear functionals from observations against white noise
Probl. Peredachi Inf., 56:2 (2020), 95–111
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Noise level estimation in high-dimensional linear models
Probl. Peredachi Inf., 54:4 (2018), 60–81
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On one problem in multichannel signal detection
Probl. Peredachi Inf., 53:4 (2017), 69–83
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On risk concentration for convex combinations of linear estimators
Probl. Peredachi Inf., 52:4 (2016), 31–48
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On limit distributions of the time of first passage over a high level
Probl. Peredachi Inf., 51:2 (2015), 67–85
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On statistical problems in geolocation
Probl. Peredachi Inf., 49:3 (2013), 57–85
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On interpolation of smooth processes and functions
Probl. Peredachi Inf., 49:2 (2013), 34–57
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Exponential weighting and oracle inequalities for projection estimates
Probl. Peredachi Inf., 48:3 (2012), 83–95
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On signal reconstruction in white noise using dictionaries
Probl. Peredachi Inf., 45:4 (2009), 91–106
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On the Empirical Risk Minimization Method
Probl. Peredachi Inf., 40:3 (2004), 21–32
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Method of Risk Envelopes in Estimation of Linear Functionals
Probl. Peredachi Inf., 40:1 (2004), 58–72
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Reconstruction of Sparse Vectors in White Gaussian Noise
Probl. Peredachi Inf., 38:1 (2002), 75–91
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Asymptotically Efficient Smoothing in the Wicksell Problem under Squared Losses
Probl. Peredachi Inf., 37:1 (2001), 28–51
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On the Minimax Estimation Problem of a Fractional Derivative
Teor. Veroyatnost. i Primenen., 46:4 (2001), 658–677
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How to Improve the Nonparametric Density Estimate in S-PLUS
Probl. Peredachi Inf., 36:4 (2000), 80–88
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On Filtering for a Hidden Markov Chain under Square Performance Criterion
Probl. Peredachi Inf., 36:3 (2000), 22–28
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A Statistical Approach to Some Inverse Problems for Partial Differential Equations
Probl. Peredachi Inf., 35:2 (1999), 51–66
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Nonparametric estimation of smooth spectral densities of Gaussian stationary sequences
Teor. Veroyatnost. i Primenen., 38:4 (1993), 775–786
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Sequential Experimental Design for Nonparametric Estimation of Smooth Regression Functions
Probl. Peredachi Inf., 28:3 (1992), 76–79
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Asymptotic Minimax Estimation of Regression in the Additive Model
Probl. Peredachi Inf., 28:2 (1992), 3–15
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Nonparametric Estimation of Smooth Probability Densities in $L_2$
Probl. Peredachi Inf., 28:1 (1992), 52–62
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Adaptive Spline Estimates for Nonparametric Regression Models
Teor. Veroyatnost. i Primenen., 37:3 (1992), 554–561
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Quasilinear filtering of Gaussian stationary sequences
Teor. Veroyatnost. i Primenen., 36:4 (1991), 764–770
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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
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Nonparametric Estimation of the Regression Function in $L^2$
Probl. Peredachi Inf., 26:3 (1990), 38–49
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Quasilinear Estimates of Signals in $L_2$
Probl. Peredachi Inf., 26:1 (1990), 19–24
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On a method of calculation of car hanger control effectiveness parameters
Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 1990, no. 5, 95–98
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Signal Delay Estimation in the Presence of Corrupting Parameters
Probl. Peredachi Inf., 25:3 (1989), 3–12
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On Estimating the Period of a Signal of Unknown Shape Corrupted by White Noise
Probl. Peredachi Inf., 24:4 (1988), 38–52
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Adaptive Asymptotically Minimax Estimators of Smooth Signals
Probl. Peredachi Inf., 23:1 (1987), 57–67
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Extremal Problems in Minimax Estimation of Sequences
Probl. Peredachi Inf., 21:3 (1985), 36–52
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Minimax Extrapolation of Functions
Probl. Peredachi Inf., 20:2 (1984), 27–43
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On Minimax Estimation of Regression
Probl. Peredachi Inf., 20:1 (1984), 56–64
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Limits distributions of stopping times in sequential hypotheses testing
Teor. Veroyatnost. i Primenen., 29:2 (1984), 302–311
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Minimax Extrapolation of Sequences
Probl. Peredachi Inf., 19:4 (1983), 31–42
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On the sequential hypotheses testing for signals in white Gaussian noise
Teor. Veroyatnost. i Primenen., 28:3 (1983), 544–554
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On Minimax Filtering of Functions in $L_2$
Probl. Peredachi Inf., 18:4 (1982), 67–75
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Fisher's method of scoring in the problem at estimating a frequency
Zap. Nauchn. Sem. LOMI, 108 (1981), 22–44
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Estimation in white Gaussian noise by means of finite number of linear statistics
Teor. Veroyatnost. i Primenen., 25:2 (1980), 278–290
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On Computation of Efficiency of Maximum-Likelihood Estimate When Observing a Discontinuous Signal in White Noise
Probl. Peredachi Inf., 15:3 (1979), 61–69
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Mark Semenovich Pinsker. In Memoriam
Probl. Peredachi Inf., 40:1 (2004), 3–5
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Review of Scientific Achievements of M. S. Pinsker
Probl. Peredachi Inf., 32:1 (1996), 5–19
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Letter to the editors
Probl. Peredachi Inf., 28:4 (1992), 109
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