Bias correction for the estimation of sensitivity indices based on random balance designs. - Jean-Yves Tissot; Clémentine Prieur (Reliab. Eng. Syst. Saf., 2012)

Estimating a bivariate tail: A copula based approach. - Elena Di Bernardino; Véronique Maume-Deschamps; Clémentine Prieur (J. Multivar. Anal., 2013)

Bayesian Multiple-Hypothesis Tracking of Merging and Splitting Targets. - Alexandros Makris; Clémentine Prieur (IEEE Trans. Geosci. Remote. Sens., 2014)

Goal-Oriented Error Estimation for the Reduced Basis Method, with Application to Sensitivity Analysis. - Alexandre Janon; Maëlle Nodet; Clémentine Prieur (J. Sci. Comput., 2016)

Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs. - Simon Nanty; Céline Helbert; Amandine Marrel; Nadia Pérot; Clémentine Prieur (SIAM/ASA J. Uncertain. Quantification, 2016)

Global sensitivity analysis for the boundary control of an open channel. - Alexandre Janon; Maëlle Nodet; Christophe Prieur 001; Clémentine Prieur (Math. Control. Signals Syst., 2016)

Uncertainty quantification for functional dependent random variables. - Simon Nanty; Céline Helbert; Amandine Marrel; Nadia Pérot; Clémentine Prieur (Comput. Stat., 2017)

On Shapley Value for Measuring Importance of Dependent Inputs. - Art B. Owen; Clémentine Prieur (SIAM/ASA J. Uncertain. Quantification, 2017)

Invariant density estimation for a reflected diffusion using an Euler scheme. - Patrick Cattiaux; José Rafael León; Clémentine Prieur (Monte Carlo Methods Appl., 2017)

Making the best use of permutations to compute sensitivity indices with replicated orthogonal arrays. - Laurent Gilquin; Elise Arnaud; Clémentine Prieur; Alexandre Janon (Reliab. Eng. Syst. Saf., 2019)

Transport effect of COVID-19 pandemic in France. - Lina Guan; Christophe Prieur 001; Liguo Zhang; Clémentine Prieur; Didier Georges; Pascal Bellemain (Annu. Rev. Control., 2020)

Data-driven stochastic inversion via functional quantization. - Mohamed Reda El Amri; Céline Helbert; Olivier Lepreux; Miguel Munoz Zuniga; Clémentine Prieur; Delphine Sinoquet (Stat. Comput., 2020)

Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions. - Olivier Zahm; Paul G. Constantine; Clémentine Prieur; Youssef M. Marzouk (SIAM J. Sci. Comput., 2020)

Iterative estimation of Sobol' indices based on replicated designs. - Laurent Gilquin; Clémentine Prieur; Elise Arnaud; Hervé Monod (Comput. Appl. Math., 2021)

Nonlinear dimension reduction for surrogate modeling using gradient information. - Daniele Bigoni; Youssef M. Marzouk; Clémentine Prieur; Olivier Zahm (CoRR, 2021)

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. - Saman Razavi; Anthony J. Jakeman; Andrea Saltelli; Clémentine Prieur; Bertrand Iooss; Emanuele Borgonovo; Elmar Plischke; Samuele Lo Piano; Takuya Iwanaga; William E. Becker; Stefano Tarantola; Joseph H. A. Guillaume; et al. (Environ. Model. Softw., 2021)

Nonparametric estimation of aggregated Sobol' indices: Application to a depth averaged snow avalanche model. - María Belén Heredia; Clémentine Prieur; Nicolas Eckert (Reliab. Eng. Syst. Saf., 2021)

A PAC algorithm in relative precision for bandit problem with costly sampling. - Marie Billaud Friess; Arthur Macherey; Anthony Nouy; Clémentine Prieur (Math. Methods Oper. Res., 2022)

Global sensitivity analysis with aggregated Shapley effects, application to avalanche hazard assessment. - María Belén Heredia; Clémentine Prieur; Nicolas Eckert (Reliab. Eng. Syst. Saf., 2022)

Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety. - Bertrand Iooss; Bruno Sudret; Samuele Lo Piano; Clémentine Prieur (Reliab. Eng. Syst. Saf., 2022)

Spatialized epidemiological forecasting applied to Covid-19 pandemic at departmental scale in France. - Matthieu Oliver; Didier Georges; Clémentine Prieur (Syst. Control. Lett., 2022)

A SUR version of the Bichon criterion for excursion set estimation. - Clément Duhamel; Céline Helbert; Miguel Munoz Zuniga; Clémentine Prieur; Delphine Sinoquet (Stat. Comput., 2023)

A probabilistic reduced basis method for parameter-dependent problems. - Marie Billaud Friess; Arthur Macherey; Anthony Nouy; Clémentine Prieur (Adv. Comput. Math., 2024)

Total effects with constrained features. - Emanuele Borgonovo; Elmar Plischke; Clémentine Prieur (Stat. Comput., 2024)

Performing global sensitivity analysis on simulations of a continuous-time Markov chain model motivated by epidemiology. - Henri Mermoz Kouye; Gildas Mazo; Clémentine Prieur; Elisabeta Vergu (Comput. Appl. Math., 2024)