Inverse Problems and Data Assimilation

DOI10.1017/9781009414319arXiv1810.06191MaRDI QIDQ6107869

Andrew M. Stuart, Armeen Taeb, Daniel Sanz-Alonso

Publication date: 28 June 2023

Full work available at URL: https://arxiv.org/abs/1810.06191

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Machine vision and scene understanding (68T45) Numerical solution to inverse problems in abstract spaces (65J22) Numerical solution of inverse problems involving ordinary differential equations (65L09) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to numerical analysis (65-01) Computational aspects of data analysis and big data (68T09)

Related Items (6)

A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors ⋮ Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy ⋮ Reduced-order autodifferentiable ensemble Kalman filters ⋮ Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators under Mesh Refinement ⋮ Diffusive Optical Tomography in the Bayesian Framework ⋮ Hierarchical ensemble Kalman methods with sparsity-promoting generalized gamma hyperpriors

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