Clémentine PRIEUR
Clémentine PRIEUR
Professor at Grenoble university
Verified email at - Homepage
Cited by
Cited by
Weak dependence
J Dedecker, P Doukhan, G Lang, LR José Rafael, S Louhichi, C Prieur, ...
Weak dependence: With examples and applications, 9-20, 2007
The future of sensitivity analysis: an essential discipline for systems modeling and policy support
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
Environmental Modelling & Software 137, 104954, 2021
Asymptotic normality and efficiency of two Sobol index estimators
A Janon, T Klein, A Lagnoux, M Nodet, C Prieur
ESAIM: Probability and Statistics 18, 342-364, 2014
New dependence coefficients. Examples and applications to statistics
J Dedecker, C Prieur
Probability Theory and Related Fields 132, 203-236, 2005
Generalized hoeffding-sobol decomposition for dependent variables-application to sensitivity analysis
G Chastaing, F Gamboa, C Prieur
On Shapley value for measuring importance of dependent inputs
AB Owen, C Prieur
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 986-1002, 2017
Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol'indices, numerical estimation and applications
B Iooss, C Prieur
International Journal for Uncertainty Quantification 9 (5), 2019
Coupling for τ-dependent sequences and applications
J Dedecker, C Prieur
Journal of Theoretical Probability 17 (4), 861-885, 2004
Bias correction for the estimation of sensitivity indices based on random balance designs
JY Tissot, C Prieur
Reliability Engineering & System Safety 107, 205-213, 2012
Generalized Sobol sensitivity indices for dependent variables: numerical methods
G Chastaing, F Gamboa, C Prieur
Journal of statistical computation and simulation 85 (7), 1306-1333, 2015
Statistical inference for Sobol pick-freeze Monte Carlo method
F Gamboa, A Janon, T Klein, A Lagnoux, C Prieur
Statistics 50 (4), 881-902, 2016
Gradient-based dimension reduction of multivariate vector-valued functions
O Zahm, PG Constantine, C Prieur, YM Marzouk
SIAM Journal on Scientific Computing 42 (1), A534-A558, 2020
SPLIDHOM: A method for homogenization of daily temperature observations
O Mestre, C Gruber, C Prieur, H Caussinus, S Jourdain
Journal of applied meteorology and climatology 50 (11), 2343-2358, 2011
Lo Piano
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
S., Iwanaga, T., Becker, W., Tarantola, S., Guillaume, JHA, Jakeman, J …, 2021
Basics and trends in sensitivity analysis: Theory and practice in R
S Da Veiga, F Gamboa, B Iooss, C Prieur
Society for Industrial and Applied Mathematics, 2021
Variance-based sensitivity analysis: Theory and estimation algorithms
C Prieur, S Tarantola
Handbook of uncertainty quantification, 1217-1239, 2017
A randomized orthogonal array-based procedure for the estimation of first-and second-order Sobol'indices
JY Tissot, C Prieur
Journal of Statistical Computation and Simulation 85 (7), 1358-1381, 2015
An empirical central limit theorem for dependent sequences
J Dedecker, C Prieur
Stochastic processes and their applications 117 (1), 121-142, 2007
Reconstruction of missing daily streamflow data using dynamic regression models
P Tencaliec, AC Favre, C Prieur, T Mathevet
Water Resources Research 51 (12), 9447-9463, 2015
Uncertainties assessment in global sensitivity indices estimation from metamodels
A Janon, M Nodet, C Prieur
International Journal for Uncertainty Quantification 4 (1), 2014
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