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Sensitivity indices when the inputs of a model are not independent areestimated by local polynomial techniques. Two original estimators based onlocal polynomial smoothers are proposed. Both have good theoretical propertieswhich are exhibited and also illustrated through analytical examples. They areused to carry out a sensitivity analysis on a real case of a kinetic model withcorrelated parameters.

Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs