Abstract
The problem of estimating a linear functional in a linear Gaussian model is considered. For the estimation, the class of projection estimators is used. The problem is to choose the optimal estimate from this class on the basis of observations. The solution of this problem is based on the principle of risk envelope minimization.
Similar content being viewed by others
REFERENCES
Vapnik, V.N., Vosstanovlenie zavisimostei po empiricheskim dannym, Moscow: Nauka, 1979. Translated under the title Estimation of Dependences Based on Empirical Data, New York: Springer, 1982.
Devroye, L., Györfi, L., and Lugosi, G., A Probabilistic Theory of Pattern Recognition, New York: Springer, 1996.
Akaike, H., Information Theory and an Extension of the Maximum Likelihood Principle, Proc. 2nd Int. Symp. on Information Theory, Tsahkadsor, Armenia, USSR, 1971, Petrov, P.N. and Csaki, F., Eds., Budapest: Akad. Kiado, 1973, pp. 267-281.
Mallows, C.V., Some Comments on C p, Technometrics, 1973, vol. 15, pp. 661-675.
Green, P.J. and Silverman, B.W., Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach, London: Chapman & Hall, 1994.
Shibata, R., An Optimal Selection of Regression Variables, Biometrika, 1981, vol. 68, pp. 45-54.
Kneip, A., Ordered Linear Smoothers, Ann. Statist., 1994, vol. 22,no. 3, pp. 835-866.
Golubev, G.K. and Levit, B.Ya., Asymptotically Efficient Estimation in the Wicksell Problem, Ann. Statist., 1998, vol. 26,no. 6, pp. 2407-2419.
Ibragimov, I.A. and Khas'minskii, R.Z., On Nonparametric Estimation of the Value of a Linear Functional in White Gaussian Noise, Teor. Veroyatn. Primen., 1984, vol. 29,no. 1, pp. 18-32.
Donoho, D.L. and Low, M.G., Renormalization Exponents and Optimal Pointwise Rates of Convergence, Ann. Statist., 1992, vol. 20,no. 2, pp. 944-970.
Lepski, O.V. and Levit, B.Ya., Adaptive Minimax Estimation of Infinitely Differentiable Functions, Math. Methods Statist., 1998, vol. 7,no. 2, pp. 123-156.
Tsybakov, A., Pointwise and sup-Norm Sharp Adaptive Estimation of Functions on the Sobolev Classes, Ann. Statist., 1998, vol. 26,no. 6, pp. 2420-2469.
Cavalier, L., Golubev, G., Lepski, O. and Tsybakov, A., Block Thresholding and Sharp Adaptive Estimation in Severely Ill-Posed Inverse Problems, Teor. Veroyatn. Primen., 2003, vol. 48,no. 3, pp. 534-556.
Lepski, O.V., Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimality of Adaptive Estimates, Teor. Veroyatn. Primen., 1991, vol. 36,no. 4, pp. 645-659.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Golubev, G.K. The Method of Risk Envelope in Estimation of Linear Functionals. Problems of Information Transmission 40, 53–65 (2004). https://doi.org/10.1023/B:PRIT.0000024880.14839.ff
Issue Date:
DOI: https://doi.org/10.1023/B:PRIT.0000024880.14839.ff