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20182026
most citedComparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

32 citations · 75 across the 11 of their papers we have counts for

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stat.CO2022★ 17 cited

A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms

Paul-Christian Bürkner, Ilja Kröker, Sergey Oladyshkin +1

Polynomial chaos expansion (PCE) is a versatile tool widely used in uncertainty quantification and machine learning, but its successful application depends strongly on the accuracy…