Bias-corrected regularized solution to inverse ill-posed models

DOI10.1007/s00190-012-0542-yzbMath1351.86021OpenAlexW1965316428MaRDI QIDQ727453

Bofeng Li, Yunzhong Shen, Peiliang Xu

Publication date: 6 December 2016

Published in: Journal of Geodesy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00190-012-0542-y

zbMATH Keywords

mean squared errorsatellite gradiometrybias-corrected regularizationlinear ill-posed model

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Computational methods for problems pertaining to geophysics (86-08) Potentials, prospecting (86A20)

Related Items (2)

M-estimator-based robust Kalman filter for systems with process modeling errors and rank deficient measurement models ⋮ Solution of the ill-posed semiparametric regression model based on singular value modification restriction

Cites Work

• Nonparametric Bayesian regression
• Fast realization algorithms for determining regularization parameters in linear inverse problems
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
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