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.

http://dx.doi.org/10.1007/s00348-010-0926-9
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.

http://dx.doi.org/10.1137/100788987
78G. Chastaing.

Generalized Sobol sensitivity indices for dependent variables, Université de Grenoble, September 2013.

https://tel.archives-ouvertes.fr/tel-00930229
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 ]

http://hal.archives-ouvertes.fr/hal-00649404
80G. Chastaing, C. Prieur, F. Gamboa.

Generalized Sobol sensitivity indices for dependent variables: numerical methods, March 2013.

http://hal.inria.fr/hal-00801628
81A. Cousin, E. Di Bernardino.

On multivariate extensions of Value-at-Risk, in: J. Multivariate Anal., 2013, vol. 119, pp. 32–46.

http://dx.doi.org/10.1016/j.jmva.2013.03.016
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.

http://hal.inria.fr/hal-00804668
90W. Hoeffding.

A class of statistics with asymptotically normal distribution, in: Ann. Math. Statistics, 1948, vol. 19, pp. 293–325.
91A. Janon, T. Klein, A. Lagnoux-Renaudie, M. Nodet, C. Prieur.

Asymptotic normality and efficiency of two Sobol index estimators, in: ESAIM: Probability and Statistics, 2013.

http://hal.inria.fr/hal-00665048
92A. Janon, M. Nodet, C. Prieur.

Certified reduced-basis solutions of viscous Burgers equation parametrized by initial and boundary values, in: ESAIM: Mathematical Modelling and Numerical Analysis, March 2013, vol. 47, n^o 2, pp. 317-348. [ DOI : 10.1051/m2an/2012029 ]

http://hal.inria.fr/inria-00524727
93M. Kennedy, A. O'Hagan.

Predicting the output from a complex computer code when fast approximations are available, in: Biometrika, 2000, vol. 87, pp. 1–13.
94F. Lemarié, L. Debreu, E. Blayo.

Optimal control of the convergence rate of Global-in-time Schwarz algorithms, in: Domain Decomposition Methods in Science and Engineering XX, R. Bank, M. Holst, O. Widlund, J. Xu (editors), volume 91 of Lecture Notes in Computational Science and Engineering, Springer-Verlag Berlin Heidelberg, 2013, pp. 599-606. [ DOI : 10.1007/978-3-642-35275-1_71 ]

https://hal.archives-ouvertes.fr/hal-00661979
95F. Lemarié, L. Debreu, E. Blayo.

Toward an Optimized Global-in-Time Schwarz Algorithm for Diffusion Equations with Discontinuous and Spatially Variable Coefficients, Part 1: The Constant Coefficients Case, in: Electronic Transactions on Numerical Analysis, 2013, vol. 40, pp. 148-169.

https://hal.archives-ouvertes.fr/hal-00661977
96F. Lemarié, L. Debreu, E. Blayo.

Toward an Optimized Global-in-Time Schwarz Algorithm for Diffusion Equations with Discontinuous and Spatially Variable Coefficients, Part 2: the Variable Coefficients Case, in: Electronic Transactions on Numerical Analysis, 2013, vol. 40, pp. 170-186.

https://hal.archives-ouvertes.fr/hal-00661978
97A. Owen.

Variance components and generalized sobol' indices, 2012.

http://arxiv.org/abs/1205.1774
98Z. Qian, C. C. Seepersad, V. R. Joseph, J. K. Allen, C. F. J. Wu.

Building surrogate models based on detailed and approximate simulations, in: Journal of Mechanical Design, 2006, vol. 128, n^o 4, pp. 668-677.
99A. Saltelli.

Making best use of model evaluations to compute sensitivity indices, in: Computer Physics Communications, 2002, vol. 145, n^o 2, pp. 280 - 297. [ DOI : 10.1016/S0010-4655(02)00280-1 ]

http://www.sciencedirect.com/science/article/pii/S0010465502002801
100G. Salvadori, C. De Michele, F. Durante.

On the return period and design in a multivariate framework, in: Hydrology and Earth System Sciences, 2011, vol. 15, n^o 11, pp. 3293–3305.
101I. M. Sobol.

Sensitivity estimates for nonlinear mathematical models, in: Math. Modeling Comput. Experiment, 1993, vol. 1, n^o 4, pp. 407–414 (1995).
102I. Souopgui.

Assimilation d'images pour les fluides géophysiques, Université Joseph-Fourier - Grenoble I, Oct 2010.
103C. B. Storlie, T. C. M. Lee, J. Hannig, D. Nychka.

Tracking of multiple merging and splitting targets: a statistical perspective, in: Statist. Sinica, 2009, vol. 19, n^o 1, pp. 1–31.

Previous |

Home