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20232026
most citedModel bias identification for Bayesian calibration of stochastic digital twins of bridges

3 citations · 4 across the 7 of their papers we have counts for

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2 papers · 1 filter

math.NA2024

Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification

Paolo Villani, Daniel Andrés-Arcones, Jörg F. Unger +1

Posterior sampling by Monte Carlo methods provides a more comprehensive solution approach to inverse problems than computing point estimates such as the maximum posterior using opt…

math.NA2024★ 1 cited

Adaptive Gaussian Process Regression for Bayesian inverse problems

Paolo Villani, Jörg Unger, Martin Weiser

We introduce a novel adaptive Gaussian Process Regression (GPR) methodology for efficient construction of surrogate models for Bayesian inverse problems with expensive forward mode…