Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise-Reference-Cited by-同舟云学术

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Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise

Published:2023-05-25 Issue:2 Volume:11 Page:591-615
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Jahn Tim¹

Affiliation:

1. Institute for Numerical Simulation, University of Bonn, 53115 Bonn, Germany.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference35 articles.

1. Comparingparameter choice methods for regularization of ill-posed problems

2. Regularization independent of the noise level: an analysis of quasi-optimality

3. Convergence Rates of General Regularization Methods for Statistical Inverse Problems and Applications

4. CROSS-VALIDATION BASED ADAPTATION FOR REGULARIZATION OPERATORS IN LEARNING THEORY

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