Optimal Convergence of the Discrepancy Principle for Polynomially and Exponentially Ill-Posed Operators under White Noise

DOI10.1080/01630563.2021.2013881OpenAlexW3156033614MaRDI QIDQ5073867

Tim Jahn

Publication date: 4 May 2022

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.06184

zbMATH Keywords

convergenceoptimalitydiscrepancy principlestatistical inverse problemsnon-Bayesian approach

Mathematics Subject Classification ID

Statistics (62-XX) Operator theory (47-XX) Operations research, mathematical programming (90-XX)

Related Items (2)

A probabilistic oracle inequality and quantification of uncertainty of a modified discrepancy principle for statistical inverse problems ⋮ Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise

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