Hierarchical Bayesian Models for X-ray Imaging: Computational Considerations for Uncertainty Quantification in Inverse Problems

Luttman, Aaron; Howard, Michael; Joyce, Kevin; Adams, Jesse

doi:10.2172/1755022

An Invited Colloquium at Mitsubishi Research and at Massachusetts Institute of Technology. Apriil 2018 2018

DOI: 10.2172/1755022

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Hierarchical Bayesian Models for X-ray Imaging: Computational Considerations for Uncertainty Quantification in Inverse Problems

Aaron Luttman¹,

Michael Howard²,

Kevin Joyce³

et al.

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Hierarchical Bayesian Models for X-ray Imaging: Computational Considerations for Uncertainty Quantification in Inverse Problems

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