Generalized Modes in Bayesian Inverse Problems-Reference-Cited by-同舟云学术

Generalized Modes in Bayesian Inverse Problems

Published:2019-01 Issue:2 Volume:7 Page:652-684
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Clason Christian^ORCID,Helin Tapio,Kretschmann Remo,Piiroinen Petteri

Funder

Finnish Centre of Excellence in Inverse Problems

Finnish Centre of Excellence in Inverse Modelling and Imaging

Academy of Finland

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://epubs.siam.org/doi/pdf/10.1137/18M1191804

Reference31 articles.

1. Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems

2. Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain

3. The annular decay property and capacity estimates for thin annuli

4. Maximum a posteriori estimates in linear inverse problems with log-concave priors are proper Bayes estimators

5. Hypermodels in the Bayesian imaging framework

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