Uncertainty Quantification and Global Sensitivity Analysis for Economic Models

This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to quantify uncertainty due to nuclear data on reactor static calculations of

Partially-intrusive Monte-Carlo methods to propagate uncertainty: ‣ By using sensitivity information and multi-level methods with polynomial chaos. expansion we demonstrate

Abstract: The goal of this paper is to briefly recall the importance of the adjoint method in many problems of sensitivity analysis, uncertainty

 The ensemble average tends to be a better representation of the observed outputs then single model realizations, which is a similar conclusion to the one obtained with crop models

In particular, the influ- ence of randomly occurring stator deformation modes on the cogging torque of a permanent-magnet synchronous machine is modeled, propagated and assessed

The two main properties and advantages of the Shapley values in the frame- work of variable importance measures are that they cannot be negative and they sum-up to the total

de Longueville, F, Hountondji, YC, Assogba, L, Henry, S & Ozer, P 2020, 'Perceptions of and responses to coastal erosion risks: The case of Cotonou in Benin', International

Daily time series of (a) O 3 measured by IASI (dark blue) and adjusted by the multivariate annual regression model (light blue), (b) the deseasonalized O 3 and (c) the fitted signal