A variational inference framework for inverse problems

Maestrini, L., Aykroyd, R.G. orcid.org/0000-0003-3700-0816 and Wand, M.P. (2025) A variational inference framework for inverse problems. Computational Statistics and Data Analysis, 202. 108055. ISSN 0167-9473

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Item Type: Article
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© 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: block-banded matrices; fast approximate inference; image processing; penalized regression; positron emission tomography
Dates:
  • Published: February 2025
  • Published (online): 16 September 2024
  • Accepted: 31 August 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Sep 2024 11:33
Last Modified: 01 Oct 2024 15:06
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.csda.2024.108055
Open Archives Initiative ID (OAI ID):

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