Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors-Reference-Cited by-同舟云学术

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Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors

Published:2017-01 Issue:5 Volume:39 Page:S477-S500
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Calvetti D.,Pitolli F.,Prezioso J.,Somersalo E.,Vantaggi B.

Funder

National Science Foundation

Sapienza Università di Roma

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/16M108272X

Reference13 articles.

1. Analysis of the Gibbs Sampler for Hierarchical Inverse Problems

2. Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation

3. Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective

4. Priorconditioners for linear systems

5. Hypermodels in the Bayesian imaging framework

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2. Inducing sparsity via the horseshoe prior in imaging problems;Inverse Problems;2023-06-06

3. Overcomplete representation in a hierarchical Bayesian framework;Inverse Problems & Imaging;2022

4. Sparse reconstructions from few noisy data: analysis of hierarchical Bayesian models with generalized gamma hyperpriors;Inverse Problems;2020-01-23

5. Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems;SIAM Journal on Scientific Computing;2020-01

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