• Corpus ID: 249953720

Variance-based global sensitivity analysis of numerical models using R

@inproceedings{Mohammadi2022VariancebasedGS,
  title={Variance-based global sensitivity analysis of numerical models using R},
  author={Hossein Mohammadi and Peter Challenor and Cl{\'e}mentine Prieur},
  year={2022}
}
Sensitivity analysis plays an important role in the development of computer models/simulators through identifying the contribution of each (uncertain) input factor to the model output variability. This report investigates different aspects of the variance-based global sensitivity analysis in the context of complex black-box computer codes. The analysis is mainly conducted using two R packages, namely sensobol (Puy et al., 2021) and sensitivity (Iooss et al., 2021). While the package sensitivity… 

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