On the Well-posedness of Bayesian Inverse Problems
DOI10.1137/19M1247176zbMath1437.49050arXiv1902.10257MaRDI QIDQ4960997
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
total variationinverse problemswell-posednessKullback-Leibler divergenceBayesian inferenceWasserstein
Computational learning theory (68Q32) Bayesian inference (62F15) Sensitivity, stability, well-posedness (49K40) Learning and adaptive systems in artificial intelligence (68T05) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) Inverse problems in optimal control (49N45)
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