Posterior Contraction in Bayesian Inverse Problems Under Gaussian Priors
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Publication:4554170
DOI10.1007/978-3-319-70824-9_1zbMath1405.62051OpenAlexW2791345636MaRDI QIDQ4554170
Publication date: 13 November 2018
Published in: Trends in Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-70824-9_1
Related Items (7)
Designing truncated priors for direct and inverse Bayesian problems ⋮ Bayesian inverse problems with heterogeneous variance ⋮ Hyperparameter estimation in Bayesian MAP estimation: parameterizations and consistency ⋮ Are Minimizers of the Onsager–Machlup Functional Strong Posterior Modes? ⋮ Convergence Rates for Learning Linear Operators from Noisy Data ⋮ Posterior contraction for empirical Bayesian approach to inverse problems under non-diagonal assumption ⋮ Bayesian inverse problems with non-commuting operators
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