On infinite-dimensional hierarchical probability models in statistical inverse problems

DOI10.3934/IPI.2009.3.567zbMath1232.62047arXiv0907.5322OpenAlexW2963565649MaRDI QIDQ2268316

Tapio Helin

Publication date: 10 March 2010

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0907.5322

zbMATH Keywords

signal processingsegmentationBayesian inversiondiscretization invariance

Mathematics Subject Classification ID

Bayesian inference (62F15) Image analysis in multivariate analysis (62H35)

Related Items (6)

Regularized Posteriors in Linear Ill-Posed Inverse Problems ⋮ Bayesian inversion techniques for stochastic partial differential equations ⋮ Random tree Besov priors -- towards fractal imaging ⋮ Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography ⋮ Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems ⋮ REGULARIZING PRIORS FOR LINEAR INVERSE PROBLEMS

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