most citedComparison of Polynomial Chaos and Gaussian Process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows

42 citations · 42 across the 1 of their papers we have counts for

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1 paper

stat.AP2017★ 42 cited

Comparison of Polynomial Chaos and Gaussian Process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows

Pamphile Tupui Roy, Nabil El Moçayd, Sophie Ricci +4

Data assimilation is widely used to improve flood forecasting capability, especially through parameter inference requiring statistical information on the uncertain input parameters…