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Zapiski Nauchnykh Seminarov POMI, 2017, Volume 466, Pages 120–133
(Mi znsl6545)
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This article is cited in 1 scientific paper (total in 1 paper)
On minimax nonparametric estimation on maxisets
M. S. Ermakovab a Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, St. Petersburg, Russia
b St. Petersburg State University, St. Petersburg, Russia
Abstract:
For the problem of nonparametric estimation of signal in Gaussian noise we point out the strong asymptotically minimax estimators on maxisets for linear estimators. It turns out that the order of rates of convergence of Pinsker estimator on this maxisets is worse than the order of rates of convergence for the class of linear estimators considered on this maxisets. We show that balls in Sobolev spaces are maxisets for Pinsker estimators.
Key words and phrases:
Tikhonov regularization algorithm, maximum likelihood estimator, asymptotically minimax estimation, nonparametric estimation.
Received: 14.11.2017
Citation:
M. S. Ermakov, “On minimax nonparametric estimation on maxisets”, Probability and statistics. Part 26, Zap. Nauchn. Sem. POMI, 466, POMI, St. Petersburg, 2017, 120–133
Linking options:
https://www.mathnet.ru/eng/znsl6545 https://www.mathnet.ru/eng/znsl/v466/p120
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Abstract page: | 130 | Full-text PDF : | 37 | References: | 34 |
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