Model Selection in the Sparsity Context for Inverse Problems in Bayesian Framework

DOI10.1007/978-3-319-91143-4_15zbMath1397.62109OpenAlexW2781688690MaRDI QIDQ4689201

Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru, Li Wang

Publication date: 15 October 2018

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-91143-4_15

zbMATH Keywords

inverse problemsparameter selectionGaussian scale mixturessparsity enforcing

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bayesian inference (62F15)

Cites Work

• Bayesian Group-Sparse Modeling and Variational Inference
• Hierarchical Bayesian Sparse Image Reconstruction With Application to MRFM