arXiv · 0803.3504
Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs
Abstract
Sensitivity indices when the inputs of a model are not independent are estimated by local polynomial techniques. Two original estimators based on local polynomial smoothers are proposed. Both have good theoretical properties which are exhibited and also illustrated through analytical examples. They are used to carry out a sensitivity analysis on a real case of a kinetic model with correlated parameters.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Sébastien Da Veiga, François Wahl, Fabrice Gamboa. 2008-03-25. Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs. https://arxiv.org/abs/0803.3504
Cite the original work for its findings. Save a collection to share your selection of sources.