Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems
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Publication:5147967
DOI10.1137/20M1326246MaRDI QIDQ5147967
Monica Pragliola, Erkki Somersalo, Daniela Calvetti
Publication date: 29 January 2021
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.06532
Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical solution to inverse problems in abstract spaces (65J22)
Related Items (13)
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors ⋮ Inverse spectral problem for band operators and their sparsity criterion in terms of inverse problem data ⋮ Empirical Bayesian Inference Using a Support Informed Prior ⋮ Generalized Sparse Bayesian Learning and Application to Image Reconstruction ⋮ Sequential edge detection using joint hierarchical Bayesian learning ⋮ Adaptive anisotropic Bayesian meshing for inverse problems ⋮ Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion ⋮ Sequential image recovery using joint hierarchical Bayesian learning ⋮ Inducing sparsity via the horseshoe prior in imaging problems ⋮ On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance ⋮ Hierarchical ensemble Kalman methods with sparsity-promoting generalized gamma hyperpriors ⋮ Overcomplete representation in a hierarchical Bayesian framework ⋮ Bayesian hierarchical dictionary learning
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