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A Bayesian approach for global sensitivity analysis of (multi-fidelity) compu...
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Modeling strategies of toxic or flammable gas spreading consequences accordin...
During accidents involving chemicals, experts can be asked to assess the effects generated. These experts provide distance effects using computer modeling and are... -
Covariance kernels for simplified and interpretable modeling. A functional an...
The framework of this thesis is the approximation of functions for which thevalue is known at limited number of points. More precisely, we consider here the... -
Total interaction index: A variance-based sensitivity index for second-order ...
Sensitivity analysis aims at exploring which of a number of variables have an impact on a certain response. Not only are the individual variables of interest but also... -
Sensitivity analysis and model reduction : application to oceanography
Mathematical models seldom represent perfectly the reality of studied systems, due to, for instance, uncertainties on the parameters that define the system. In the... -
Sensitivity analysis for the study of influential parameters in tyre models
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Approche fréquentielle pour l'identification in vivo de paramètres thermiques
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Some propositions to find optimal conditions to simulate a flexible transport...
This paper presents a method to evaluate the robustness of a cooperating flexible transport system based on agents (taxis and clients) and simulated using NetLogo.... -
Development and Evaluation of Plant Growth Models: Methodology and Implementa...
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Characterization of process-oriented hydrologic model behavior with temporal ...
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The costs of climate policies in a second best world with labour market
This article explores the critical role of labour market imperfections in climate stabilisation costs formation. To do so, we use a dynamic recursive energy-economy... -
Multi-fidelity Gaussian process regression for computer experiments
This work is on Gaussian-process based approximation of a code which can be run at different levels of accuracy. The goal is to improve the predictions of a surrogate... -
ANOVA decomposition of conditional Gaussian processes for sensitivity analysi...
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Integrated optimal design and sensitivity analysis of a stand alone wind turb...
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Origins of the debate on the life-cycle greenhouse gas emissions and energy c...
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Stability and Sensitivity Analysis for Optimal Control Problems with a First-...
The paper deals with an optimal control problem with a scalar first-order state constraint and a scalar control. In presence of (nonessential) touch points, the arc... -
Mathematical modeling of respiratory system mechanics in the newborn lamb.
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Sensitivity analysis for optimal control problems. Stochastic optimal control...
This thesis is divided into two parts. In the first part, we study constrained deterministic optimal control problems and sensitivity analysis issues, from the point... -
Sensitivity analysis for multidimensional and functional outputs
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Analyse de l'incertitude de quatre modèles de phytoprotection relative à l'er...
International audience
