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Publications in Math-Net.Ru
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An extension of the quantile optimization problem with a loss function linear in random parameters
Avtomat. i Telemekh., 2020, no. 12, 67–81
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Approximation of probabilistic constraints in stochastic programming problems with a probability measure kernel
Avtomat. i Telemekh., 2019, no. 11, 93–107
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Refined estimation of the Bellman function for stochastic optimal control problems with probabilistic performance criterion
Avtomat. i Telemekh., 2019, no. 4, 53–69
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On optimal retention of the trajectory of discrete stochastic system in tube
Avtomat. i Telemekh., 2019, no. 1, 38–53
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Bilateral estimation of the Bellman function in the problems of optimal stochastic control of discrete systems by the probabilistic performance criterion
Avtomat. i Telemekh., 2018, no. 2, 3–18
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A visualization algorithm for the plane probability measure kernel
Inform. Primen., 12:2 (2018), 60–68
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Asymptotic confidence interval for conditional probability at decision making
Avtomat. i Telemekh., 2017, no. 10, 130–138
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Linearization method for solving quantile optimization problems with loss function depending on a vector of small random parameters
Avtomat. i Telemekh., 2017, no. 7, 95–109
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Design of optimal strategies in the problems of discrete system control by the probabilistic criterion
Avtomat. i Telemekh., 2017, no. 6, 57–83
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A method for solving quantile optimization problems with a bilinear loss function
Avtomat. i Telemekh., 2015, no. 9, 83–101
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On approximate computation of the quantile criterion
Avtomat. i Telemekh., 2013, no. 6, 57–65
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Quantile criterion-based control of the securities portfolio with a nonzero ruin probability
Avtomat. i Telemekh., 2013, no. 5, 114–136
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On the convergence of a stochastic approximation procedure for estimating the quantile criterion in the case of a discontinuous distribution function
Avtomat. i Telemekh., 2011, no. 2, 71–76
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On approximate solution of the problem of formation of the fixed-income portfolio of securities
Avtomat. i Telemekh., 2010, no. 6, 130–141
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On guaranteed sample volume in the problem of estimating unknown probability
Avtomat. i Telemekh., 2010, no. 3, 46–53
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Fundamentals of the linearization method for quantile analysis with small random parameters
Avtomat. i Telemekh., 2008, no. 8, 71–81
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Comparison of the quantile and guaranteeing approaches to system analysis
Avtomat. i Telemekh., 2007, no. 1, 57–67
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Selection of a fixed-income portfolio
Avtomat. i Telemekh., 2006, no. 4, 97–104
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Optimal control of the investment portfolio with respect to the quantile criterion
Avtomat. i Telemekh., 2004, no. 2, 179–197
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On Convergence of a Stochastic Quasigradient Algorithm of Quantile Optimization
Avtomat. i Telemekh., 2003, no. 2, 100–116
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Control Optimization by the Quantile Criterion
Avtomat. i Telemekh., 2001, no. 5, 77–88
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On the justification of the uniformity principle in the optimization of a probability performance index
Avtomat. i Telemekh., 2000, no. 1, 54–70
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Quantile minimization of the normal distribution of a bilinear loss function
Avtomat. i Telemekh., 1998, no. 11, 82–92
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The quantile minimization problem with a bilinear loss function
Avtomat. i Telemekh., 1998, no. 7, 67–75
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Convexity Property of Prqbability Functions and Quantiles in Optimization Problems
Avtomat. i Telemekh., 1996, no. 3, 82–102
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Stabilization of a quasilinear system with random errors in the control channel
Avtomat. i Telemekh., 1994, no. 10, 184–187
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Stabilization of dynamic system under uncertain and random perturbations
Avtomat. i Telemekh., 1990, no. 12, 75–84
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Optimal control of a linear system according to a quantile criterion
Avtomat. i Telemekh., 1990, no. 1, 37–43
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