Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1P.-A. Bouttier.
  Assimilation variationnelle de données altimétriques dans le modèle océanique NEMO : Exploration de l'effet des non-linéarités dans une configuration simplifiée à haute résolution, Université de Grenoble, February 2014.
  https://tel.archives-ouvertes.fr/tel-00995305
• 2V. Chabot.
  Étude de représentations parcimonieuses des statistiques d'erreur d'observation pour différentes métriques. Application à l'assimilation de données images, Université de Grenoble, July 2014.
  https://tel.archives-ouvertes.fr/tel-01073582
• 3J. Demange.
  Numerical advection and internal waves propagation schemes for ocean circulation models, Université de Grenoble, October 2014.
  https://hal.inria.fr/tel-01104703

Articles in International Peer-Reviewed Journals

• 4J.-P. Bernard, E. Frenod, A. Rousseau.
  Paralic confinement computations in coastal environment with interlocked areas, in: Discrete and Continuous Dynamical Systems - Series S, February 2015, vol. 8, n^o 1, pp. 45-54. [ DOI : 10.3934/dcdss.2015.8.45 ]
  https://hal.archives-ouvertes.fr/hal-00833340
• 5B. Bonan, M. Nodet, C. Ritz, V. Peyaud.
  An ETKF approach for initial state and parameter estimation in ice sheet modelling, in: Nonlinear Processes in Geophysics, April 2014, vol. 21, n^o 2, pp. 569-582. [ DOI : 10.5194/npg-21-569-2014 ]
  https://hal.inria.fr/hal-01066882
• 6P. Cattiaux, R. Leon, C. Prieur.
  Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. I. Invariant density, in: Stochastic Processes and their Applications, March 2014, vol. 124, n^o 3, pp. 1236-1260. [ DOI : 10.1016/j.spa.2013.10.008 ]
  https://hal.archives-ouvertes.fr/hal-00739136
• 7P. Cattiaux, J. R. León, C. Prieur.
  Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. II Drift term, in: ALEA (Latin American Journal of Probability and Statistics), 2014, vol. 11, n^o 1, pp. 359-384.
  https://hal.archives-ouvertes.fr/hal-00877054
• 8V. Chabot, M. Nodet, N. Papadakis, A. Vidard.
  Accounting for observation errors in image data assimilation, in: Tellus A, 2014, 18 p.
  https://hal.inria.fr/hal-00923735
• 9G. Chastaing, C. Prieur, F. Gamboa.
  Generalized Sobol sensitivity indices for dependent variables: numerical methods, in: Journal of Statistical Computation and Simulation, September 2014, pp. 1-28. [ DOI : 10.1080/00949655.2014.960415 ]
  https://hal.archives-ouvertes.fr/hal-00801628
• 10P. Cénac, S. Loisel, V. Maume-Deschamps, C. Prieur.
  Risk indicators with several lines of business: comparison, asymptotic behavior and applications to optimal reserve allocation, in: Annales de l'ISUP, 2014, vol. 58, n^o 3.
  https://hal.archives-ouvertes.fr/hal-00816894
• 11E. Di Bernardino, C. Prieur.
  Estimation of Multivariate Conditional Tail Expectation using Kendall's Process, in: Journal of Nonparametric Statistics, March 2014, vol. 26, n^o 2, pp. 241-267. [ DOI : 10.1080/10485252.2014.889137 ]
  https://hal.archives-ouvertes.fr/hal-00740340
• 12N. Djath, A. Melet, J. Verron, J.-M. Molines, B. Barnier, L. Gourdeau, L. Debreu.
  A 1/36 degrees model of the Solomon Sea embedded into a global ocean model: on the setting up of an interactive open boundary nested model system, in: Journal of Operational Oceanography, 2014, vol. 7, n^o 1, 13 p.
  https://hal.inria.fr/hal-01095929
• 13S. Ferradans, N. Papadakis, G. Peyré, J.-F. Aujol.
  Regularized Discrete Optimal Transport, in: SIAM Journal on Imaging Sciences, 2014.
  https://hal.archives-ouvertes.fr/hal-00988765
• 14A. Janon, M. Nodet, C. Prieur.
  Uncertainties assessment in global sensitivity indices estimation from metamodels, in: International Journal for Uncertainty Quantification, 2014, vol. 4, n^o 1, pp. 21-36. [ DOI : 10.1615/Int.J.UncertaintyQuantification.2012004291 ]
  https://hal.inria.fr/inria-00567977
• 15E. Kazantsev.
  Optimized boundary conditions at staircase-shaped coastlines, in: Ocean Dynamics, January 2015, vol. 65, n^o 1, pp. 49-63. [ DOI : 10.1007/s10236-014-0780-z ]
  https://hal.inria.fr/hal-00952847
• 16F.-X. Le Dimet, P. Shutyaev, H. Tran Thu.
  General sensitivity analysis in data assimilation, in: Russian Journal of Numerical Analysis and Mathematical Modelling, April 2014, vol. 29, n^o 2, pp. 107-127. [ DOI : 10.1515/rnam-2014-0009 ]
  https://hal.inria.fr/hal-00931293
• 17F.-X. Le Dimet, I. Souopgui, O. Titaud, V. Shutyaev, M. Y. Hussaini.
  Toward the assimilation of images, in: Nonlinear Processes in Geophysics, 2015, vol. 22, pp. 15-32. [ DOI : 10.5194/npg-22-15-2015 ]
  https://hal.inria.fr/hal-01103151
• 18A. Makris, C. Prieur.
  Bayesian Multiple Hypothesis Tracking of Merging and Splitting Targets, in: IEEE Transactions on Geoscience and Remote Sensing, 2014, vol. 52, n^o 12, pp. 7684-7694. [ DOI : 10.1109/TGRS.2014.2316600 ]
  https://hal.inria.fr/hal-00919018
• 19C. Talandier, J. Deshayes, A.-M. Tréguier, X. Capet, R. Benshila, L. Debreu, R. Dussin, J.-M. Molines, G. Madec.
  Improvements of simulated Western North Atlantic current system and impacts on the AMOC, in: Ocean Modelling, January 2014, vol. 79, pp. 1-19. [ DOI : 10.1016/j.ocemod.2013.12.007 ]
  https://hal.inria.fr/hal-00944219
• 20M. Tayachi Pigeonnat, A. Rousseau, E. Blayo, N. Goutal, V. Martin.
  Design and analysis of a Schwarz coupling method for a dimensionally heterogeneous problem, in: International Journal for Numerical Methods in Fluids, June 2014, vol. 75, n^o 6, pp. 446-465. [ DOI : 10.1002/fld.3902 ]
  https://hal.inria.fr/hal-00766214
• 21J.-Y. Tissot, C. Prieur.
  A randomized Orthogonal Array-based procedure for the estimation of first- and second-order Sobol' indices, in: Journal of Statistical Computation and Simulation, 2014, pp. 1-24. [ DOI : 10.1080/00949655.2014.971799 ]
  https://hal.archives-ouvertes.fr/hal-00743964

Articles in National Peer-Reviewed Journals

• 22A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi.
  Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d'électricité, in: Journal de la Société Française de Statistique, 2014, vol. 155, n^o 2, pp. 202- 219, ISSN: 2102-6238 - Open access.
  https://hal.inria.fr/hal-00942680

Invited Conferences

• 23L. Debreu, F. Lemarié, E. Blayo.
  Schwarz waveform relaxation for heterogeneous cluster computing and applications, in: 43th SPEEDUP Workshop on High-Performance Computing, Geneva, Switzerland, September 2014.
  https://hal.inria.fr/hal-01062959
• 24F. Lemarié.
  Difficultés et Progrès dans le couplage océan-atmosphère, in: LEFE - Colloque les enveloppes fluides et l'environnement, Toulouse, France, January 2014.
  https://hal.inria.fr/hal-00931842
• 25F. Lemarié.
  Méthodes mathématiques et numériques en océanographie et météorologie, in: Séminaires de Mécanique d'Orsay : LIMSI-FAST, Orsay, France, January 2014.
  https://hal.inria.fr/hal-00940510
• 26F. Lemarié.
  Numerical and physical delicacies in coupled ocean-atmosphere simulations, in: Physics dynamics coupling in geophysical models - bridging the gap, Ensenada, Mexico, CICESE, December 2014.
  https://hal.inria.fr/hal-01093203
• 27M. Nodet, V. Chabot, A. Vidard.
  Accounting for correlated observation errors in image assimilation, in: Réunion des Sciences de la Terre RST2014, Pau, France, October 2014.
  https://hal.inria.fr/hal-01096782
• 28M. Nodet, V. Chabot, A. Vidard.
  Accounting for correlated observation errors in image assimilation, in: Microlocal analysis and applications, Nice, France, June 2014.
  https://hal.inria.fr/hal-01096770
• 29M. Nodet, V. Chabot, A. Vidard.
  Accounting for correlated observation errors in image assimilation, in: Filtering High Dimensional Complex Systems, Warwick, United Kingdom, June 2014.
  https://hal.inria.fr/hal-01096772
• 30A. Vidard, V. Chabot, M. Nodet.
  Accounting for correlated observation errors in image data assimilation, in: Workshop on correlated observation errors in data assimilation, Reading, United Kingdom, ESA - University of Reading, April 2014.
  https://hal.inria.fr/hal-00984508

International Conferences with Proceedings

• 31D. Auroux, J. Blum, M. Nodet.
  A New Method for Data Assimilation: 
the Diffusive Back and Forth Nudging Algorithm, in: ICIPE 2014 - International Conference on Inverse Problems in Engineering, Cracow, Poland, May 2014.
  https://hal.inria.fr/hal-01099292
• 32P. Bonnel, N. Coulombel, E. Prados, P. Sturm, E. Arnaud, C. Boittin, L. Bouzouina, J. Cabrera Delgado, T. Capelle, J. Delons, L. Gilquin, V. Hilaire, M. De Lapparent, D. Nguyen-Luong, J.-P. Nicolas, M. Saujot, A. Tschirhard, A. Vidard.
  A survey on the calibration and validation of integrated land use and transportation models, in: Symposium "Towards integrated modelling of urban systems", Lyon, France, October 2014.
  https://hal.inria.fr/hal-01093254
• 33T. Capelle, P. Sturm, A. Vidard.
  Formulating LUTI calibration as an optimisation problem: example of Tranus shadow-price estimation, in: Symposium "Towards integrated modelling of urban systems", Lyon, France, October 2014.
  https://hal.inria.fr/hal-01093248
• 34M. P. Daou, E. Blayo, A. Rousseau, O. Bertrand, M. Tayachi Pigeonnat, C. Coulet, N. Goutal.
  Coupling 3D Navier-Stokes and 1D shallow water models, in: Simhydro 2014, Sophia Antipolis, France, June 2014.
  https://hal.inria.fr/hal-00995171
• 35A. Janon, M. Nodet, C. Prieur, C. Prieur.
  Global sensitivity analysis for the boundary control of an open channel, in: 53rd IEEE Conference on Decision and Control (CDC 2014), Los Angeles, United States, December 2014.
  https://hal.archives-ouvertes.fr/hal-01065886
• 36F. Zertuche, C. Helbert, A. Antoniadis.
  Multi-fidelity regression using a non-parametric relationship, in: MASCOT 2014 - Méthodes d'Analyse Statistique pour les COdes et Traitements numériques, Zurich, Switzerland, April 2014.
  https://hal.archives-ouvertes.fr/hal-01096661

National Conferences with Proceedings

• 37V. Chabot, M. Nodet, N. Papadakis, A. Vidard.
  Assimilation de séquences d'images : vers une prise en compte des corrélations spatiales au sein des erreurs d'observation, in: EGC 2014 - 14èmes journées Francophones "Extraction et Gestion des Connaissances", Rennes, France, January 2014, pp. 1-11.
  https://hal.inria.fr/hal-00942711
• 38V. Chabot, M. Nodet, A. Vidard.
  Vers une prise en compte des corrélations spatiales au sein des erreurs d’observation pour des séquences d'images., in: Congrès National d'Assimilation de données, Toulouse, France, December 2014.
  https://hal.inria.fr/hal-01096901

Conferences without Proceedings

• 39P.-A. Bouttier, E. Blayo, J.-M. Brankart, P. Brasseur, E. Cosme, G. Ruggiero, J. Verron, A. Vidard, Y. Yan.
  SEABASS : une configuration de référence pour l'évaluation de systèmes d'assimilation avec le modèle de circulation océanique NEMO, in: Colloque National sur l'Assimilation de données, Toulouse, France, December 2014.
  https://hal.archives-ouvertes.fr/hal-01093780
• 40P.-A. Bouttier, E. Blayo, J. Verron, A. Vidard.
  Performances des méthodes variationnelles d’Assimilation de Données pour le modèle océanique NEMO, in: Colloque National sur l'Assimilation de Données, Toulouse, France, December 2014.
  https://hal.inria.fr/hal-01100884
• 41F. Colas, F. Lemarié, V. Oerder, S. Masson, S. Berthet.
  Modeling studies of ocean-atmosphere coupling at the oceanic mesoscale, in: 2014 AGU Ocean Sciences Meeting, Honolulu, United States, February 2014.
  https://hal.inria.fr/hal-00957239
• 42L. Debreu, F. Lemarié, P. Marchesiello.
  Numerical delicacies associated with the use of isoneutral mixing operators in ocean models, in: The workshop on Partial Differential Equations on the Sphere, Boulder, United States, April 2014.
  https://hal.inria.fr/hal-01062955
• 43N. Ducousso, J. Le Sommer, J.-M. Molines, G. Madec, L. Debreu, F. Lemarié.
  Caveats in using the EEN momentum advection scheme: illustration with idealized experiments and sensitivity of ORCA025 solutions, in: DRAKKAR/MYOCEAN 2014 Annual Workshop, Grenoble, France, January 2014.
  https://hal.inria.fr/hal-00941032
• 44F. Lemarié, E. Audusse.
  Méthodes numériques pour la modélisation de l'océan et de l'atmosphère, in: 42e Congrès National d'Analyse Numérique, Carry-Le-Rouet, France, March 2014.
  https://hal.inria.fr/hal-01062973
• 45F. Lemarié, L. Debreu, G. Madec, M. Honnorat, J.-M. Molines.
  Stability constraints for oceanic numerical models: implications for the formulation of space-time discretizations, in: 2014 AGU Ocean Sciences Meeting, Honolulu, United States, February 2014.
  https://hal.inria.fr/hal-00957238
• 46M. Nodet.
  L'assimilation de données : un exemple en glaciologie et perspectives en agronomie/écologie, in: Journées math-info de l'INRA, Lyon, France, March 2014.
  https://hal.inria.fr/hal-00967469
• 47V. Oerder, F. Colas, V. Echevin, S. Masson, C. Hourdin, F. Lemarié, G. Madec.
  Mesoscale ocean-atmosphere coupling in the Peru-Chile upwelling system, in: EGU General Assembly 2014, Vienna, Austria, April 2014.
  https://hal.inria.fr/hal-01063855
• 48L. Renault, F. Lemarié, A. Hall, C. Deutsch, J. C. Mcwilliams.
  Air-sea interactions and biogeochemical response over the Californian Current System: a numerical study using coupled and uncoupled simulations, in: 2014 AGU Ocean Sciences Meeting, Honolulu, United States, February 2014.
  https://hal.inria.fr/hal-00957240

Scientific Books (or Scientific Book chapters)

• 49J.-S. Dhersin (editor)
  Statistical inference for partial differential equations, ESAIM: Proceedings and Surveys, SMAI, Seignosse le Penon, France, September 2014, vol. 45.
  https://hal.inria.fr/hal-00920853
• 50O. U. Press (editor)
  Advanced Data Assimilation for Geosciences, Lecture Notes of the Les Houches School of Physics: Special Issue, June 2012, October 2014, 608 p.
  https://hal.inria.fr/hal-01093213
• 51L. Debreu, E. Neveu, F. X. Le Dimet, E. Simon.
  Multigrid algorithms and local mesh refinement methods in the context of variational data assimilation, in: Lecture notes of Les Houches summer school 2012, E. Blayo, M. Bocquet, E. Cosme, F. C. Leticia (editors), Oxford University Press, 2014, 576 p.
  https://hal.inria.fr/hal-01095939
• 52F.-X. Le Dimet, I. Gejadze, P. Shutyaev.
  Second Order Methods for Error Propagation in Variational Data Assimilation, in: Lecture notes of Les Houches summer school, E. Blayo, M. Bocquet, E. Cosme, F. C. Leticia (editors), Data assimilation for Geosciences, Oxford University Press, 2014, 576 p.
  https://hal.inria.fr/hal-01103169
• 53A. Vidard, O. Titaud.
  Assimilation of Images, in: Advanced Data Assimilation for Geosciences, E. Blayo, M. Bocquet, E. Cosme, L. F. Cugliandolo (editors), Lecture Notes of the Les Houches Summer School, Oxford University Press, December 2014, 20 p.
  https://hal.inria.fr/hal-01099711

Internal Reports

• 54J. Demange, L. Debreu, P. Marchesiello, F. Lemarié, E. Blayo.
  Numerical representation of internal waves propagation, September 2014, n^o RR-8590.
  https://hal.inria.fr/hal-01063417
• 55J. Demange, L. Debreu, P. Marchesiello, F. Lemarié, E. Blayo.
  On the use of a depth-dependent barotropic mode in ocean models: impact on the stability of the coupled barotropic/baroclinic system, September 2014, n^o RR-8589.
  https://hal.inria.fr/hal-01063414
• 56F. Lemarié, L. Debreu, J. Demange, G. Madec, J.-M. Molines, M. Honnorat.
  Stability constraints for oceanic numerical models: implications for the formulation of space-time discretizations, 2014, n^o RR-8598.
  https://hal.inria.fr/hal-01065979
• 57F. Lemarié, P. Marchesiello, L. Debreu, E. Blayo.
  Sensitivity of Ocean-Atmosphere Coupled Models to the Coupling Method : Example of Tropical Cyclone Erica, Inria Grenoble, December 2014, n^o RR-8651, 32 p.
  https://hal.inria.fr/hal-00872496

Scientific Popularization

• 58P. Marchesiello, Y. Soufflet, X. Capet, J. Jouanno, F. Lemarié.
  Effective resolution in ocean models, April 2014, EGU General Assembly 2014.
  https://hal.inria.fr/hal-01062950
• 59M. Nodet, A. Rousseau, S. Minjeaud.
  Courants marins : l’histoire d'une bouteille à la mer, in: Brèves de maths, Nouveau monde, October 2014.
  https://hal.inria.fr/hal-01096811

Patents

• 60A. Rapaport, A. Rousseau, J. Harmand.
  Procédé de traitement d'une ressource fluide, programme d'ordinateur et module de traitement associés, February 2014, n^o FA 78 4546 - FR 13 55129.
  https://hal.inria.fr/hal-00859584

Other Publications

• 61E. Arnaud, E. Blayo, G.-H. Cottet, A. Hamon, K. Le Calvez, M. Nodet, B. Thibert.
  APP pour les maths en L1, June 2014, Journée APP.
  https://hal.inria.fr/hal-01096838
• 62E. Blayo, D. Cherel, A. Rousseau.
  Towards optimized Schwarz methods for the Navier-Stokes equations, April 2014.
  https://hal.inria.fr/hal-00982087
• 63P.-A. Bouttier, J.-M. Brankart, G. Candille, A. Vidard, E. Blayo, J. Verron, P. Brasseur.
  Toward variational assimilation of SARAL/Altika altimeter data in a North Atlantic circulation model at eddy-permitting resolution: assessment of a NEMO-based 4D-VAR system, October 2014, OST/ST Altimetry 2014.
  https://hal.inria.fr/hal-01100879
• 64P. Cattiaux, J. R. Leon, C. Prieur.
  Recursive Estimation for Stochastic Damping Hamiltonian Systems, October 2014, forthcoming.
  https://hal.archives-ouvertes.fr/hal-01071252
• 65P. Cattiaux, J. R. León, C. Prieur.
  Estimation for stochastic damping Hamiltonian systems under partial observation. III. Diffusion term, July 2014.
  https://hal.archives-ouvertes.fr/hal-01044611
• 66M. Champion, G. Chastaing, S. Gadat, C. Prieur.
  L2-Boosting for sensitivity analysis with dependent inputs, September 2014, To appear in Statistica Sinica.
  https://hal.inria.fr/hal-01068729
• 67M. P. Daou, A. Cabal, C. Coulet, O. Bertrand, E. Blayo, A. Rousseau, A. Degroof.
  Modelling crisis management for improved action and preparedness (CRISMA): Modelling submersion on the Charente-Maritime coast, July 2014, Colloque international « Connaissance et compréhension des risques côtiers : Aléas, Enjeux, Représentations, Gestion ».
  https://hal.inria.fr/hal-01100923
• 68N. Feyeux, M. Nodet, A. Vidard.
  Application of optimal transport to data assimilation, December 2014, Colloque National sur l'Assimilation de données (CNA).
  https://hal.inria.fr/hal-01097186
• 69N. Feyeux, M. Nodet, A. Vidard.
  Application of optimal transport to data assimilation, December 2014, Special semester on new trends in calculus of variation.
  https://hal.inria.fr/hal-01097190
• 70L. Gilquin, C. Prieur, E. Arnaud.
  Replication procedure for grouped Sobol' indices estimation in dependent uncertainty spaces, July 2014.
  https://hal.inria.fr/hal-01045034
• 71A. Janon, M. Nodet, C. Prieur.
  Goal-oriented error estimation for the reduced basis method, with application to sensitivity analysis, July 2014.
  https://hal.archives-ouvertes.fr/hal-00721616
• 72A. Janon, M. Nodet, C. Prieur, C. Prieur.
  Global sensitivity analysis for the boundary control of an open channel, December 2014.
  https://hal.archives-ouvertes.fr/hal-01092590
• 73F. Lemarié.
  Méthodes mathématiques et numériques pour la modélisation de l'océan/atmosphère, 2014, Rapport de l'Atelier Réflexion Prospective (ARP) MATHématiqueS en INteractions pour la TERRE (MathsInTerre).
  https://hal.inria.fr/hal-01062982
• 74S. Nanty, C. Helbert, A. Marrel, N. Pérot, C. Prieur.
  Uncertainy quantification for functional dependent random variables, 2014.
  https://hal.archives-ouvertes.fr/hal-01075840
• 75M. Nodet.
  Introduction à l'apprentissage par problèmes, June 2014, Journées annuelles de l'IREM de Grenoble.
  https://hal.inria.fr/hal-01099293

References in notes

• 76D. Auroux, J. Fehrenbach.
  Identification of velocity fields for geophysical fluids from a sequence of images, in: Exp. Fluids, 2010.
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• 77F. Caron, P. Del Moral, A. Doucet, M. Pace.
  Particle approximation of the intensity measures of a spatial branching point process arising in multitarget tracking, in: SIAM J. Control Optim., 2011, vol. 49, n^o 4, pp. 1766–1792.
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• 78G. Chastaing.
  Generalized Sobol sensitivity indices for dependent variables, Université de Grenoble, September 2013.
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• 79G. Chastaing, F. Gamboa, C. Prieur.
  Generalized Hoeffding-Sobol Decomposition for Dependent Variables - Application to Sensitivity Analysis, in: Electronic Journal of Statistics, December 2012, vol. 6, pp. 2420-2448. [ DOI : 10.1214/12-EJS749 ]
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• 80G. Chastaing, C. Prieur, F. Gamboa.
  Generalized Sobol sensitivity indices for dependent variables: numerical methods, March 2013.
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• 81A. Cousin, E. Di Bernardino.
  On multivariate extensions of Value-at-Risk, in: J. Multivariate Anal., 2013, vol. 119, pp. 32–46.
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• 82C. De Michele, G. Salvadori, R. Vezzoli, S. Pecora.
  Multivariate assessment of droughts: Frequency analysis and dynamic return period, in: Water Resources Research, 2013, vol. 49, n^o 10, pp. 6985–6994.
• 83L. Debreu, P. Marchesiello, P. Penven, G. Cambon.
  Two-way nesting in split-explicit ocean models: Algorithms, implementation and validation, in: Ocean Modelling, 2012, vol. 49-50, pp. 1-21. [ DOI : 10.1016/j.ocemod.2012.03.003 ]
  http://hal.inria.fr/hal-00925410
• 84L. Debreu, E. Neveu, E. Simon, F.-X. Le Dimet, A. Vidard.
  Multigrid solvers and multigrid preconditioners for the solution of variational data assimilation problems, October 2013.
  http://hal.inria.fr/hal-00874643
• 85L. Debreu, C. Vouland, E. Blayo.
  AGRIF: Adaptive Grid Refinement in Fortran, in: Computers and Geosciences, January 2008, vol. 34, n^o 1, pp. 8-13. [ DOI : 10.1016/j.cageo.2007.01.009 ]
  http://hal.archives-ouvertes.fr/hal-00387435
• 86E. Di Bernardino, T. Laloë, V. Maume-Deschamps, C. Prieur.
  Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory, in: ESAIM: Probability and Statistics, February 2013, vol. 17, pp. 236-256. [ DOI : 10.1051/ps/2011161 ]
  http://hal.inria.fr/hal-00580624
• 87E. Di Bernardino, V. Maume-Deschamps, C. Prieur.
  Estimating Bivariate Tail: a copula based approach, in: Journal of Multivariate Analysis, 2013, vol. 119, pp. pages 81-100.
  http://hal.inria.fr/hal-00475386
• 88E. Di Bernardino, C. Prieur.
  Estimation of Multivariate Conditional Tail Expectation using Kendall's Process, October 2012.
  http://hal.archives-ouvertes.fr/hal-00740340
• 89F. Gamboa, A. Janon, T. Klein, A. Lagnoux-Renaudie, C. Prieur.
  Statistical inference for Sobol pick freeze Monte Carlo method, March 2013.
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