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Γ -convergence of Onsager–Machlup functionals : I. With applications to maximum a posteriori estimation in Bayesian inverse problems

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Ayanbayev, Birzhan, Klebanov, Ilja, Lie, Han Cheng and Sullivan, T. J. (2021) Γ -convergence of Onsager–Machlup functionals : I. With applications to maximum a posteriori estimation in Bayesian inverse problems. Inverse Problems, 38 (2). 025005. doi:10.1088/1361-6420/ac3f81 ISSN 1361-6420.

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Official URL: https://doi.org/10.1088/1361-6420/ac3f81

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Abstract

The Bayesian solution to a statistical inverse problem can be summarised by a mode of the posterior distribution, i.e. a maximum a posteriori (MAP) estimator. The MAP estimator essentially coincides with the (regularised) variational solution to the inverse problem, seen as minimisation of the Onsager–Machlup (OM) functional of the posterior measure. An open problem in the stability analysis of inverse problems is to establish a relationship between the convergence properties of solutions obtained by the variational approach and by the Bayesian approach. To address this problem, we propose a general convergence theory for modes that is based on the Γ-convergence of OM functionals, and apply this theory to Bayesian inverse problems with Gaussian and edge-preserving Besov priors. Part II of this paper considers more general prior distributions.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Bayesian statistical decision theory, Inverse problems (Differential equations), Functionals, Gaussian measures, Besov spaces, Convergence
Journal or Publication Title: Inverse Problems
Publisher: IOP Publishing
ISSN: 1361-6420
Official Date: 28 December 2021
Dates:
DateEvent
28 December 2021Published
2 December 2021Accepted
Volume: 38
Number: 2
Article Number: 025005
DOI: 10.1088/1361-6420/ac3f81
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 1 February 2022
Date of first compliant Open Access: 1 February 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
415980428[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
EXC-2046/1 : 390685689[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
318763901—SFB1294[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
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