Weak-norm posterior contraction rate of the 4DVAR method for linear severely ill-posed problems

DOI10.1016/j.jco.2017.11.006OpenAlexW2774146355MaRDI QIDQ1745629

Litao Ding, Jin Cheng, Shuai Lu

Publication date: 18 April 2018

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

Full work available at URL: https://doi.org/10.1016/j.jco.2017.11.006

zbMATH Keywords

statistical inverse problems4DVARseverely ill-posed problemsweak-norm posterior contraction

Mathematics Subject Classification ID

Numerical analysis (65-XX) Partial differential equations (35-XX)

Related Items (3)

Iterate averaging, the Kalman filter, and 3DVAR for linear inverse problems ⋮ On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data ⋮ On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise

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