Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems-Reference-Cited by-同舟云学术

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Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems

Published:2018-01 Issue:3 Volume:6 Page:1076-1100
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Brown D. Andrew,Saibaba Arvind,Vallélian Sarah

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Division of Engineering Education and Centers

Division of Mathematical Sciences

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

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

Link

https://epubs.siam.org/doi/pdf/10.1137/17M1137218

Reference43 articles.

1. Analysis of the Gibbs Sampler for Hierarchical Inverse Problems

2. Bayesian inversion of geoelectrical resistivity data

3. MCMC-Based Image Reconstruction with Uncertainty Quantification

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