Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs
Methodology
2008-12-18 v1 Statistics Theory
Statistics Theory
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.
Cite
@article{arxiv.0803.3504,
title = {Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs},
author = {Sébastien Da Veiga and François Wahl and Fabrice Gamboa},
journal= {arXiv preprint arXiv:0803.3504},
year = {2008}
}
Comments
12 pages