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cs.MS2025
A Computational Framework and Implementation of Implicit Priors in Bayesian Inverse Problems
Jasper M. Everink, Chao Zhang, Amal M. A. Alghamdi +3
Solving Bayesian inverse problems typically involves deriving a posterior distribution using Bayes' rule, followed by sampling from this posterior for analysis. Sampling methods, s…
cs.MS2024
Democratizing Uncertainty Quantification
Linus Seelinger, Anne Reinarz, Mikkel B. Lykkegaard +22
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In thi…