Mieux modéliser le climat grâce aux statistiques

C. Prieur (2015)

Podcast Interstices

Basics and Trends in Sensitivity Analysis: Theory and Practice in R

S. Da Veiga, F. Gamboa, B. Iooss, C. Prieur (2021)

SIAM publisher. Computational science and engineering.

Weak Dependance: With Examples and Applications

J. Dedecker, P. Doukhan, G. Lang, J.R. Léon, S. Louhichi, C. Prieur (2007)

Springer, New York. Lecture Notes in Statistics 190.

Variance-based sensitivity analysis: Theory and estimation algorithms

C. Prieur and S. Tarantola (2017)

In: Springer Handbook on UQ, R. Ghanem, D. Higdon and H. Owhadi (Eds), p. 1217-1239.

Recent results on weak dependence for causal sequences. Statistical applications to dynamical systems

C. Prieur (2006)

Lect. notes in Stat., Springer, Vol. 187.

Parametrized Kantorovich-Rubinstein Theorem and application to the coupling of random variables

J. Dedecker, C. Prieur and P. Raynaud de Fitte (2006)

Lect. notes in Stat., Springer, Vol. 187.

Special Issue on Sensitivity Analysis of Model Outputs

B. Iooss, B. Sudret, S. Lo Piano and C. Prieur (2022)

Reliability Engineering and System Safety, 10477

Méthodes stochastiques pour l'analyse de sensibilité

C. Prieur, A. Pasanisi et F. Wahl (2011)

J. SFdS, Volume 152, Issue 1.

Efficient estimation of Sobol’ indices of any order from a single input/output sample

S. Da Veiga, F. Gamboa, T. Klein, A. Lagnoux and C. Prieur (2026)

Accepted in Information and Inference: A Journal of the IMA

On the Use of Global Sensitivity Analysis in a Game-Theoretic Approach to an Environmental Management Problem

C. Dutang and C. Prieur (2025)

Accepted in Environmental Modeling & Assessment

An extension of Sellke construction and uncertainty quantification for non-Markovian epidemic models

H. M. Kouye, C. Prieur and E. Vergu (2025)

Accepted in Mathematical Modelling of Natural Phenomena

An integro-ODE-PDE model for Covid-19 pandemic with vaccination and loss of immunity: well-posedness, RBF-FD numerical scheme and simulation

R. Vaudry, C. Sonveaux, D. Georges and C. Prieur (2025)

Ima Journal Of Mathematical Control And Information

Diffeomorphism-based feature learning using Poincaré Inequalities on augmented input space

R. Verdière, C. Prieur and O. Zahm (2025)

Journal of Machine Learning Research 26(139):1-31

Performing global sensitivity analysis on simulations of a continuous-time Markov chain model motivated by epidemiology

H. Mermoz Kouye, G. Mazo, C. Prieur and E. Vergu (2024)

Computational and Applied Mathematics, 43, 409

Total Effects with Constrained Features

E. Borgonovo, E. Plischke and C. Prieur (2024)

Statistics and Computing, Vol. 34, No. 87

A probabilistic reduced basis method for parameter-dependent problems

M. Billaud-Friess, A. Macherey, A. Nouy and C. Prieur (2024)

Advances in Computational Mathematics, Vol. 50, No. 19

Feasible set estimation under functional uncertainty by Gaussian Process modelling

M. R. El Amri, C. Helbert, M. Munoz Zuniga, C. Prieur and D. Sinoquet (2023)

Physica D: Nonlinear Phenomena, Vol. 455, 133893

A probabilistic point of view for the exact or approximated computation of the solution to Kolmogorov hypoelliptic equations

P. Etoré, J. R. León and C. Prieur (2023)

ESAIM: Probability and Statistics, Vol. 27, 668-693

A SUR version of the Bichon criterion for excursion set estimation

C. Duhamel, C. Helbert, M. Munoz Zuniga, C. Prieur and D. Sinoquet (2023)

Statistics and Computing, Vol. 33, No. 2, 41

Wind turbine quantification and reduction of uncertainties based on a data-driven data assimilation approach

A. Hirvoas, C. Prieur, E. Arnaud, F. Caleyron and M. Munoz Zuniga (2022)

Journal of Renewable and Sustainable Energy, Vol. 14, No. 5

Improved Regional Frequency Analysis of rainfall data

P. Le Gall, A.-C. Favre, P. Naveau and C. Prieur (2022)

Weather and Climate Extremes, Vol. 36, 100456

Spatialized Epidemiological Forecasting applied to Covid-19 Pandemic at Departmental Scale in France

M. Oliver, D. Georges and C. Prieur (2022)

Systems & Control Letters, Vol. 164, 105240

Nonlinear dimension reduction for surrogate modeling using gradient information

D. Bigoni, Y. Marzouk, C. Prieur and O. Zahm (2022)

Information and Inference: A Journal of the IMA, Vol. 11 (4), 1597-1639

Global sensitivity analysis with aggregated Shapley effects, application to avalanche hazard assessment

M. B. Heredia, C. Prieur and N. Eckert (2022)

Reliability Engineering & System Safety, Vol. 222, 108420

A PAC algorithm in relative precision for bandit problem with costly sampling

M. Billaud-Friess, A. Macherey, A. Nouy and C. Prieur (2022)

Mathematical Methods of Operations Research, Vol. 96, 161-185

Nonparametric estimation of aggregated Sobol' indices: application to a depth averaged snow avalanche model

M. B. Heredia, C. Prieur and N. Eckert (2021)

Reliability Engineering & System Safety, Vol. 212, p. 107422

Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach

A. Hirvoas, C. Prieur, E. Arnaud, F. Caleyron and M. Munoz Zuniga (2021)

International Journal for Numerical Methods in Engineering, Vol. 122 (10), p. 2528-2544

Recursive estimation procedure of Sobol' indices based on replicated designs

L. Gilquin, E. Arnaud, C. Prieur and H. Monod (2021)

Computational and Applied Mathematics, Vol. 40 (1), p. 1-23

Position Paper: The Future of Sensitivity Analysis: An Essential Discipline for Systems Modelling and Policy Making

S. Razavi, A. Jakeman, A. Saltelli, C. Prieur, B. Iooss et al. (2021)

Environmental Modelling and Software, Vol. 137, p. 104954

Transport effect of COVID-19 pandemic in France

L. Guan, Ch. Prieur, L. Zhang, Cl. Prieur, D. Georges and P. Bellemain (2020)

Annual Reviews in Control, Vol. 50, p. 394-408

Adaptive density estimation on bounded domains under mixing conditions

K. Bertin, J. R. León, N. Klutchnikoff and C. Prieur (2020)

Electronic Journal of Statistics Vol. 14, p. 2198-2237

Bayesian calibration of an avalanche model from autocorrelated measurements along the flow: application to high rate photogrammetric image

M. B. Heredia, N. Eckert, C. Prieur and E. Thibert (2020)

Journal of Glaciology Vol. 66 (257), p. 373-385

Gradient-based dimension reduction of multivariate vector-valued functions

O. Zahm, P. Constantine, C. Prieur and Y. Marzouk (2020)

SIAM Journal on Scientific Computing Vol. 42 (1): A534-A558

Data-driven stochastic inversion via functional quantization

M. R. El Amri, C. Helbert, O. Lepreux, M. Munoz Zuniga, C. Prieur and D. Sinoquet (2020)

Statistics and Computing Vol. 30 (3), p. 525-541

Global sensitivity analysis for models described by stochastic differential equations

P. Etoré, C. Prieur, D. K. Pham and L. Li (2020)

Methodology and Computing in Applied Probability Vol. 22, p. 803-831

Flexible semiparametric Generalized Pareto modeling of the entire range of rainfall amount

P. Tencaliec, A.-C. Favre, P. Naveau, C. Prieur and G. Nicolet (2020)

Environmetrics Vol. 31 (2): e2582

A global sensitivity analysis approach for marine biogeochemical modeling

C. Prieur, L. Viry, E. Blayo and J.-M. Brankart (2019)

Ocean Modelling, Vol. 139, 101402

Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications

B. Iooss and C. Prieur (2019)

International Journal for Uncertainty Quantification Volume 9 (5), p. 493-514

Making the best use of permutations to compute sensitivity indices with replicated orthogonal arrays

L. Gilquin, E. Arnaud, C. Prieur and A. Janon (2019)

Reliability Engineering & System Safety 187, p. 28-39

New statistical methods for precipitation bias correction applied to WRF model simulations in the Antisana Region (Ecuador)

M. B. Heredia, C. Junquas, C. Prieur, T. Condom (2018)

Journal of Hydrometeorology, 19 (12), p. 2021-2040

Estimation of the Multivariate Conditional-Tail-Expectation for extreme risk levels: illustration on environmental data-sets

E. Di Bernardino and C. Prieur (2018)

Environmetrics, 29 (7), p. e2510

Goal-oriented error estimation for parameter-dependent nonlinear problems

Janon, A., Nodet, M., Prieur, C. and Prieur, C. (2018)

ESAIM: Mathematical Modelling and Numerical Analysis, 52 (2), p. 705-728

On Shapley value for measuring importance of dependent inputs

Owen, A. B. and Prieur, C. (2017)

SIAM/ASA Journal on Uncertainty Quantification, 5 (1), p.986-1002

Adaptive estimation for Stochastic Damping Hamiltonian Systems under Partial Observation

Comte, F., Prieur, C. and Samson, A. (2017)

Stochastic Processes and their Applications, 127 (11), p. 3689-3718

Invariant density estimation for a reflected diffusion using an Euler scheme

P. Cattiaux, J. R. León and C. Prieur (2017)

Monte Carlo Methods and Applications, 23 (2), p. 71-88

Sensitivity Analysis and Optimisation of a Land Use and Transport Integrated Model

L. Gilquin, T. Capelle, E. Arnaud and C. Prieur (2017)

Journal de la Société Française de Statistique, 158 (1), p. 90-110

An overlook on statistical inference issues for stochastic damping hamiltonian systems under the fluctuation-dissipation condition

P. Cattiaux, J. R. León, A. A. Pineda and C. Prieur (2017)

Statistics, 51 (1), p. 11-29

Iterative construction of replicated designs based on Sobol' sequences

Gilquin, L., Jiménez Rugama, L. A., Arnaud, E., Hickernell, F. J., Monod, H. and Prieur, C. (2017)

C. R. Acad. Sci. Paris, Série 1, 355 (1), p. 10-14

Uncertainy quantication for functional dependent random variables

S. Nanty, C. Helbert, A. Marrel, N. Pérot and C. Prieur (2017)

Computational Statistics, 32 (2), p. 559-583

Sampling, metamodelling and sensitivity analysis of numerical simulators with functional stochastic inputs

S. Nanty, C. Helbert, A. Marrel, N. Pérot and C. Prieur (2016)

SIAM/ASA Journal on Uncertainty Quantification, 4 (1), p. 636-659

Global sensitivity analysis for the boundary control of an open channel

A. Janon, M. Nodet, C. Prieur and C. Prieur (2016)

Math. Control Signals Systems, 28 (1), p. 1-27

Goal-oriented error estimation for the reduced basis method, with application to sensitivity analysis

A. Janon, M. Nodet, C. Prieur (2016)

Journal of Scientific Computing, 68 (1), p. 21-41

Statistical inference for Sobol pick freeze Monte Carlo method

F. Gamboa, A. Janon, T. Klein, A. Lagnoux, C. Prieur (2016)

Statistics, 50 (4), p. 881-902

Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. III. Diffusion term

P. Cattiaux, J. R. León and C. Prieur (2016)

Annals of Applied Probability, 26 (3), p. 1581-1619

Stochastic Tracking of Mesoscale Convective Systems: Evaluation in the West African Sahel

A. Makris, C. Prieur, T. Vischel, G. Quantin, T. Lebel and R. Roca (2016)

Stochastic Environmental Research and Risk Assessment, 30 (2), p. 681-691

Reconstruction of missing daily streamflow data using dynamic regression models

P. Tencaliec, A.-C. Favre, C. Prieur and T. Mathevet (2015)

Water Resour. Res., 51 (12), p. 9447-9463

Replication procedure for grouped Sobol' indices estimation in dependent uncertainty spaces

L. Gilquin, C. Prieur and E. Arnaud (2015)

Information and Inference: A Journal of the IMA, 4 (4), p. 354-379

Recursive Estimation for Stochastic Damping Hamiltonian Systems

P. Cattiaux, J. R. León and C. Prieur (2015)

Journal of Nonparametric Statistics, Volume 27, no. 3, pages 401-424

A randomized Orthogonal Array-based procedure for the estimation of first- and second-order Sobol' indices

J.-Y. Tissot and C. Prieur (2015)

Journal of Statistical Computation and Simulation, Volume 85, Issue 7, pages 1358-1381

L2 -Boosting for sensitivity analysis with dependent inputs

M. Champion, G. Chastaing, S. Gadat and C. Prieur (2015)

Statistica Sinica, 25 (4), p. 1477-1502

Generalized Sobol sensitivity indices for dependent variables: numerical methods

G. Chastaing, F. Gamboa, C. Prieur (2015)

Journal of Statistical Computation and Simulation, Volume 85, Issue 7, pages 1306-1333

Risk indicators with several lines of business: comparison, asymptotic behavior and applications

P. Cénac, S. Loisel, V. Maume-Deschamps, C. Prieur (2014)

Ann. ISUP , Volume 58, Issue 3, pages 3-26

Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. II. Drift term

P. Cattiaux, J. R. León and C. Prieur (2014)

ALEA, Volume 11, Issue 1, pages 359-384

Bayesian Multiple Hypothesis Tracking of Merging and Splitting Targets

A. Makris and C. Prieur (2014)

IEEE Transactions on Geoscience and Remote Sensing Volume 52, Issue 12, pages 7684-7694

Estimation of Multivariate Conditional Tail Expectation using Kendall's Process

E. Di Bernardino and C. Prieur (2014)

Journal of Nonparametric Statistics Volume 26, Issue 2, pages 241-267

Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. I. Invariant density

P. Cattiaux, J. R. León and C. Prieur (2014)

Stochastic Processes and their Applications Volume 124, Issue 3, pages 1236-1260

Asymptotic normality and efficiency of two Sobol index estimators

Janon, A., Klein T., Lagnoux A., Nodet M., Prieur C. (2014)

ESAIM P&S, Volume 18, pages 342-364

Uncertainties assessment in global sensitivity indices estimation from metamodels

A. Janon, M. Nodet, C. Prieur (2014)

International Journal for Uncertainty Quantification 4, no. 1, pages 21-36

Certified reduced-basis solutions of viscous Burgers equation parametrized by initial and boundary values

A. Janon, M. Nodet, C. Prieur (2013)

ESAIM Math. Model. Numer. Anal. Volume 47, Issue 2, pages 317-348

Estimating Bivariate Tail: a copula based approach

E. Di Bernardino, V. Maume-Deschamps, C. Prieur (2013)

Journal of Multivariate Analysis. Volume 119, pages 81-100

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 (2013)

ESAIM Probab. Stat. Volume 17, pages 236-256

Generalized Hoeffding-Sobol Decomposition for Dependent Variables. Application to Sensitivity Analysis

G. Chastaing, F. Gamboa, C. Prieur (2012)

Electronic Journal of Statistics. Volume 6, Issue 0, pages 2420-2448

Bias correction for the estimation of sensitivity indices based on random balance designs

J. Y. Tissot, C. Prieur (2012)

Reliability Engineering & System Safety. Volume 107, pages 205-213

Some multivariate risk indicators; minimization by using a Kiefer-Wolfowitz approach to the mirror stochastic algorithm

P. Cénac, V. Maume-Deschamps, C. Prieur (2012)

Statistics and Risk Modeling. Volume 29, Issue 1, pages 47-71

Spatio-temporal metamodeling for West African monsoon

A. Antoniadis, C. Helbert, C. Prieur & L. Viry (2012)

Environmetrics, Volume 23, Issue 1, pages 24-36

Conditional large and moderate deviations for sums of discrete random variables. Combinatoric applications

F. Gamboa, T. Klein, C. Prieur (2012)

Bernoulli 18, 4, 1341-1360

SPLIDHOM: a method for homogenization of daily temperature observations

O. Mestre, C. Gruber, C. Prieur, H. Caussinus & S. Jourdain (2011)

Journal of Applied Meteorology and Climatology 50, 11, 2343-2358

Perfect simulation of the d-minimal coupling between ordered pairs of binary chains of infinite order

N. Garcia, A. Galves, C. Prieur (2010)

Journal of Statistical Physics 141, 669-682

Limit theorem for random walk in weakly dependent random scenery

N. Guillotin-Plantard, C. Prieur (2010)

Annales de l'Institut Henri Poincaré P&S 46, 4, 1178-1194

Central limit theorem for sampled sums of dependent random variables

N. Guillotin-Plantard and C. Prieur (2010)

ESAIM P&S. 14, 299-314

Some unbounded functions of intermittent maps for which the central limit theorem holds

J. Dedecker and C. Prieur (2009)

ALEA 5, 29-45

Adaptive estimation of linear functionals by model selection

B. Laurent, C. Ludena, C. Prieur (2008)

Electronic Journal of Statistics Vol. 2, 993-1020

Change Point Estimation by Local Linear Smoothing under a Weak Dependence Condition

C. Prieur (2007)

Math. Methods of Statist. Vol. 16 No. 1, 25-41

An empirical central limit theorem for dependent sequences

J. Dedecker & C. Prieur (2007)

Stochastic Process. Appl. Vol. 117 No. 1, 121-142

Spectral properties of chaotic processes

B. Bercu & C. Prieur (2006)

Stochastics and Dynamics. Vol. 6 No. 3, 355-371

Some asymptotic results for the number of generalized records

A. L. Fougères, F. Gamboa & C. Prieur (2005)

Extremes, Vol. 8, 27-41

New dependence coefficients. Examples and applications to statistics

J. Dedecker & C. Prieur (2005)

Probab. Theory and Relat. Fields, Vol. 132, 203-236

Couplage pour la distance minimale

J. Dedecker & C. Prieur (2004)

C. R. Acad. Sci. Paris, Série 1, 338, 805-808

Coupling for tau-dependent sequences and applications

J. Dedecker & C. Prieur (2004)

Journal of Theoretical Probability, Vol. 17 No. 4, 861-885

An Empirical Functional Central Limit Theorem For Weakly Dependent Sequences

C. Prieur (2002)

Probab. and Math. Statistics, Vol. 22 Fasc. 2, 259-287

Estimation de la densité invariante de systèmes dynamiques en dimension 1

C. Prieur (2001)

C.R. Acad. Sci. Paris ,t. 332 Série 1, 761-764

Density Estimation For One-Dimensional Dynamical Systems

C. Prieur (2001)

ESAIM , Probab. & Statist. 5, p. 51-76

Estimation d'une rupture en dépendance faible

P. Ango Nze & C. Prieur (2001)

C.R. Acad. Sci. Paris ,t. 335 Série 1, 267-270

A triangular central limit theorem under a new weak dependence condition

C. Coulon-Prieur & Paul Doukhan (2000)

Statistic & Probability Letters , 47, 61-68

Stochastic methods for solving high-dimensional partial differential equations

M. Billaud-Friess, A. Macherey, A. Nouy, and C. Prieur (2018)

International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, p. 125-141. Springer, Cham.

Statistical inference for partial differential equations

E. Grenier, M. Hoffmann, T. Lelièvre, V. Louvet, C. Prieur, N. Rachdi and P. Vigneaux (2014)

ESAIM: Proceedings and Surveys, Vol. 45, p. 178-188. Congrès SMAI 2013

Global sensitivity analysis for the boundary control of an open channel

A. Janon, M. Nodet, C. Prieur and C. Prieur (2014)

IEEE Conf. on Dec. and Cont. (CDC'14), Los Angeles (CA), USA

Sensitivity analysis and uncertainty quantification for environmental models

T. Cartailler, A. Gauss, A. Janon, H. Monod, C. Prieur and N. Saint-Geours (2014)

ESAIM Proceedings, Vol. 44, Journées MAS 2012

A decision-support system for vineyard water status management based on a modeling approach

A. Gauss, A. Bsaibes, T. Cartailler, C. Prieur, E. Lebon, F. Gerard, E. Jallas (2013)

Precision agriculture '13, Editor John V. Stafford. Wageningen Academic Publishers. 9th European Conference on Precise Agriculture (ECPA)

Certified metamodels for sensitivity indices estimation

A. Janon, M. Nodet, C. Prieur (2012)

Congrès National de Mathématiques Appliquées et Industrielles, ESAIM Proc. 35, 234-238, EDP Sci.

Density Estimation for One-Dimensional Dynamical Systems

C. Prieur (2002)

Proceedings of the Seminar on Stability Problems for Stochastic Models, Part I (Eger, 2001). Journal of Mathematical Sciences (New York), 111, 3, 3601-3612

Activity report ciroquo research & industry consortium

C. Blanchet-Scalliet et al. (2024)

Un Institut Environnement - Société à l'UGA

S. Anquetin et al. (2022)

Vers une pérennisation de la dynamique impulsée autour des études des trajectoires des socio-écosystèmes

Variance-based global sensitivity analysis of numerical models using R

H. Mohammadi, P. Challenor and C. Prieur (2022)

Chair in applied mathematics OQUAIDO Activity report

O. Roustant, R. Le Riche, R., J. Garnier et al. (2021)

Time-dependent sensitivity analysis of a model-driven decision support system for vineyard water status management

A. Guaus, A. Bsaibes, T. Cartailler, C. Prieur, E. Lebond, F. Gérarda (2013)

Variance-based sensitivity analysis using harmonic analysis

J. Y. Tissot and C. Prieur (2012)

Propriétés rhéologiques de la pâte de ciment

J.M. Bardet et C. Prieur (2003)

Rapport de contrat

Mollified Active Subspace

R. Verdière, C. Prieur and O. Zahm (2025)

Soumis pour publication

PINN-Based Estimation of Distributed SIHRV Epidemiological Models

D. Georges, M. Moro and C. Prieur (2025)

Soumis pour publication

About hypoelliptic SDE equations with boundary conditions

P. Etoré, J. R. León and C. Prieur (2025)

Soumis pour publication

Active learning strategies for the estimation of a feasible set defined from a vector output black-box simulator

C. Duhamel, C. Helbert, M. Munoz Zuniga, C. Prieur and D. Sinoquet (2025)

Soumis pour publication

Optimal Design of Physical and Numerical Experiments for Computer Code Calibration

A. Barry, F. Bachoc, S. Bouquet, M. Munoz Zuniga and C. Prieur (2024)

Soumis pour publication

Quantile oriented sensitivity analysis with random forest based on pinball loss

R. Wang, V. Maume-Deschamps and C. Prieur (2024)

Soumis pour publication