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De Gruyter, Computational Methods in Applied Mathematics, 4(18), p. 603-608, 2017

DOI: 10.1515/cmam-2017-0055

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Minimax Rates for Statistical Inverse Problems Under General Source Conditions

Journal article published in 2017 by Litao Ding, Peter Mathé ORCID
Distributing this paper is prohibited by the publisher
Distributing this paper is prohibited by the publisher

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Abstract

Abstract We describe the minimax reconstruction rates in linear ill-posed equations in Hilbert space when smoothness is given in terms of general source sets. The underlying fundamental result, the minimax rate on ellipsoids, is proved similarly to the seminal study by D. L. Donoho, R. C. Liu, and B. MacGibbon [4]. These authors highlighted the special role of the truncated series estimator, and for such estimators the risk can explicitly be given. We provide several examples, indicating results for statistical estimation in ill-posed problems in Hilbert space.