Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
On the Well-posedness of Bayesian Inverse Problems - MaRDI portal

On the Well-posedness of Bayesian Inverse Problems

From MaRDI portal
Publication:4960997

DOI10.1137/19M1247176zbMath1437.49050arXiv1902.10257MaRDI QIDQ4960997

Jonas Latz

Publication date: 24 April 2020

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.10257




Related Items

Deep microlocal reconstruction for limited-angle tomographyOn Bayesian data assimilation for PDEs with ill-posed forward problemsBayesian Imaging Using Plug & Play Priors: When Langevin Meets TweedieBayesian Imaging with Data-Driven Priors Encoded by Neural NetworksSparse approximation of triangular transports. I: The finite-dimensional caseBayesian approach for limited-aperture inverse acoustic scattering with total variation priorA Bayesian scheme for reconstructing obstacles in acoustic waveguidesComponent-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covarianceBayesian Inverse Problems Are Usually Well-PosedAnalysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators under Mesh RefinementOn unifying randomized methods for inverse problemsLipschitz continuity of probability kernels in the optimal transport frameworkStability of doubly-intractable distributionsError Bounds for Some Approximate Posterior Measures in Bayesian InferenceStability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform InversionMultilevel Adaptive Sparse Leja Approximations for Bayesian Inverse ProblemsGeneralized parallel tempering on Bayesian inverse problemsThe Ensemble Kalman Filter for Rare Event EstimationΓ -convergence of Onsager–Machlup functionals: I. With applications to maximum a posteriori estimation in Bayesian inverse problems



Cites Work


This page was built for publication: On the Well-posedness of Bayesian Inverse Problems