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Maximum a posteriori estimators in ℓp are well-defined for diagonal Gaussian priors

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We prove that maximum a posteriori estimators are well-defined for diagonal Gaussian priors µ on ℓp under common assumptions on the potential Φ. Further, we show connections to the Onsager–Machlup… Click to show full abstract

We prove that maximum a posteriori estimators are well-defined for diagonal Gaussian priors µ on ℓp under common assumptions on the potential Φ. Further, we show connections to the Onsager–Machlup functional and provide a corrected and strongly simplified proof in the Hilbert space case p = 2, previously established by Dashti et al (2013 Inverse Problems 29 095017); Kretschmann (2019 PhD Thesis). These corrections do not generalize to the setting 1⩽p<∞ , which requires a novel convexification result for the difference between the Cameron–Martin norm and the p-norm.

Keywords: well defined; estimators well; maximum posteriori; defined diagonal; diagonal gaussian; posteriori estimators

Journal Title: Inverse Problems
Year Published: 2022

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