An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems

An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems

We study Bayesian inference methods for solving linear inverse problems, focusing on hierarchical formulations where the prior or the likelihood function depend on unspecified hyperparameters. In practice, these hyperparameters are often determined via an empirical Bayesian method that maximizes the...

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Bibliographic Details
Main Authors: Zhou, Qingping, Liu, Wenqing, Li, Jinglai, Marzouk, Youssef M
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:English
Published: IOP Publishing 2019
Online Access:https://hdl.handle.net/1721.1/122927

Internet

https://hdl.handle.net/1721.1/122927

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