Weak dependence J Dedecker, P Doukhan, G Lang, LRJ Rafael, S Louhichi, C Prieur Weak dependence: With examples and applications, 9-20, 2007 | 458* | 2007 |

New dependence coefficients. Examples and applications to statistics J Dedecker, C Prieur Probability Theory and Related Fields 132 (2), 203-236, 2005 | 210 | 2005 |

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 | 197 | 2014 |

Generalized hoeffding-sobol decomposition for dependent variables-application to sensitivity analysis G Chastaing, F Gamboa, C Prieur Electronic Journal of Statistics 6, 2420-2448, 2012 | 144 | 2012 |

Coupling for τ-dependent sequences and applications J Dedecker, C Prieur Journal of Theoretical Probability 17 (4), 861-885, 2004 | 104 | 2004 |

On Shapley value for measuring importance of dependent inputs AB Owen, C Prieur SIAM/ASA Journal on Uncertainty Quantification 5 (1), 986-1002, 2017 | 103 | 2017 |

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 | 91 | 2011 |

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 | 78 | 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 | 77 | 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 | 67 | 2016 |

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 | 61 | 2019 |

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 | 54 | 2020 |

Variance-based sensitivity analysis: Theory and estimation algorithms C Prieur, S Tarantola Handbook of uncertainty quantification, 1217-1239, 2017 | 54 | 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 | 54 | 2015 |

An empirical central limit theorem for dependent sequences J Dedecker, C Prieur Stochastic processes and their applications 117 (1), 121-142, 2007 | 54 | 2007 |

Uncertainties assessment in global sensitivity indices estimation from metamodels A Janon, M Nodet, C Prieur International Journal for Uncertainty Quantification 4 (1), 2014 | 47 | 2014 |

Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory E Di Bernardino, T Laloë, V Maume-Deschamps, C Prieur ESAIM: Probability and Statistics 17, 236-256, 2013 | 41 | 2013 |

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 | 35 | 2015 |

Certified reduced-basis solutions of viscous Burgers equation parametrized by initial and boundary values A Janon, M Nodet, C Prieur ESAIM: Mathematical Modelling and Numerical Analysis 47 (2), 317-348, 2013 | 27 | 2013 |

Bayesian multiple-hypothesis tracking of merging and splitting targets A Makris, C Prieur IEEE Transactions on Geoscience and Remote Sensing 52 (12), 7684-7694, 2014 | 26 | 2014 |