Regularization of statistical inverse problems and the Bakushinskiĭ veto

DOI10.1088/0266-5611/27/11/115010zbMath1401.62055arXiv1011.3669OpenAlexW3099863561MaRDI QIDQ3103935

Saskia M. A. Becker

Publication date: 19 December 2011

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1011.3669

zbMATH Keywords

numerical methodsill-posed problemsprobability distributionsstatistical regularizationBakushinskiĭ veto

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items (5)

Concentration inequalities for cross-validation in scattered data approximation ⋮ Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: A (Numerical) Survey ⋮ The quasi-optimality criterion in the linear functional strategy ⋮ Beyond the Bakushinkii veto: regularising linear inverse problems without knowing the noise distribution ⋮ Parameter Choices for Fast Harmonic Spline Approximation

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