most citedGlobal sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

math.NA2023★ 5 cited

Global sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion

Dongjin Lee, Elle Lavichant, Boris Kramer

In uncertainty quantification, variance-based global sensitivity analysis quantitatively determines the effect of each input random variable on the output by partitioning the total…