Fast Gibbs sampling for high-dimensional Bayesian inversion
Solving ill-posed inverse problems by Bayesian inference has recently attracted considerable attention. Compared to deterministic approaches, the probabilistic representation of the solution by the posterior distribution can be exploited to explore and quantify its uncertainties. In applications whe...
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Published in | Inverse problems Vol. 32; no. 11; pp. 115019 - 115041 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.11.2016
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Subjects | |
Online Access | Get full text |
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