Members
Overall Objectives
Research Program
Application Domains
Software and Platforms
New Results
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
[1]
C. Amblard, S. Girard.
Estimation procedures for a semiparametric family of bivariate copulas, in: Journal of Computational and Graphical Statistics, 2005, vol. 14, no 2, pp. 1–15.
[2]
J. Blanchet, F. Forbes.
Triplet Markov fields for the supervised classification of complex structure data, in: IEEE trans. on Pattern Analyis and Machine Intelligence, 2008, vol. 30(6), pp. 1055–1067.
[3]
C. Bouveyron, S. Girard, C. Schmid.
High dimensional data clustering, in: Computational Statistics and Data Analysis, 2007, vol. 52, pp. 502–519.
[4]
C. Bouveyron, S. Girard, C. Schmid.
High dimensional discriminant analysis, in: Communication in Statistics - Theory and Methods, 2007, vol. 36, no 14.
[5]
G. Celeux, S. Chrétien, F. Forbes, A. Mkhadri.
A Component-wise EM Algorithm for Mixtures, in: Journal of Computational and Graphical Statistics, 2001, vol. 10, pp. 699–712.
[6]
G. Celeux, F. Forbes, N. Peyrard.
EM procedures using mean field-like approximations for Markov model-based image segmentation, in: Pattern Recognition, 2003, vol. 36, no 1, pp. 131-144.
[7]
F. Forbes, G. Fort.
Combining Monte Carlo and Mean field like methods for inference in hidden Markov Random Fields, in: IEEE trans. PAMI, 2007, vol. 16, no 3, pp. 824-837.
[8]
F. Forbes, N. Peyrard.
Hidden Markov Random Field Model Selection Criteria based on Mean Field-like Approximations, in: IEEE trans. PAMI, August 2003, vol. 25(9), pp. 1089–1101.
[9]
S. Girard.
A Hill type estimate of the Weibull tail-coefficient, in: Communication in Statistics - Theory and Methods, 2004, vol. 33, no 2, pp. 205–234.
[10]
S. Girard, P. Jacob.
Extreme values and Haar series estimates of point process boundaries, in: Scandinavian Journal of Statistics, 2003, vol. 30, no 2, pp. 369–384.
Publications of the year

Doctoral Dissertations and Habilitation Theses

[11]
C. Bakhous.
Modèles d'encodage parcimonieux de l'activité cérébrale mesurée par IRM fonctionnelle, Université de Grenoble, December 2013.
http://hal.inria.fr/tel-00933426
[12]
J. El Methni.
Contributions à l'estimation de quantiles extrêmes. Applications à des données environnementales, Université de Grenoble, October 2013.
http://hal.inria.fr/tel-00924293

Articles in International Peer-Reviewed Journals

[13]
S. Badillo, T. Vincent, P. CIUCIU.
Group-level impacts of within- and between-subject hemodynamic variability in fMRI, in: NeuroImage, June 2013, vol. 82C, pp. 433-448. [ DOI : 10.1016/j.neuroimage.2013.05.100 ]
http://hal.inria.fr/hal-00854481
[14]
L. Chaari, T. Vincent, F. Forbes, M. Dojat, P. CIUCIU.
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach, in: IEEE Transactions on Medical Imaging, May 2013, vol. 32, no 5, pp. 821-837. [ DOI : 10.1109/TMI.2012.2225636 ]
http://hal.inria.fr/inserm-00753873
[15]
M. Chavent, S. Girard, V. Kuentz, B. Liquet, T. M. N. Nguyen, J. Saracco.
A sliced inverse regression approach for data stream, in: Computational Statistics, 2014, vol. to appear.
http://hal.inria.fr/hal-00688609
[16]
A. Daouia, L. Gardes, S. Girard.
On kernel smoothing for extremal quantile regression, in: Bernoulli, November 2013, vol. 19, no 5B, pp. 2557-2589. [ DOI : 10.3150/12-BEJ466 ]
http://hal.inria.fr/hal-00630726
[17]
A. Daouia, S. Girard, A. Guillou.
A Gamma-moment approach to monotonic boundaries estimation: with applications in econometric and nuclear fields, in: Journal of Econometrics, February 2014, vol. 178, no 2, pp. 727-740. [ DOI : 10.1016/j.jeconom.2013.10.013 ]
http://hal.inria.fr/hal-00737732
[18]
E. H. Deme, L. Gardes, S. Girard.
On the estimation of the second order parameter for heavy-tailed distributions, in: REVSTAT - Statistical Journal, November 2013, vol. 11, no 3, pp. 277-299.
http://hal.inria.fr/hal-00634573
[19]
E. H. Deme, S. Girard, A. Guillou.
Reduced-bias estimator of the Proportional Hazard Premium for heavy-tailed distributions, in: Insurance: Mathematics and Economics, March 2013, vol. 52, no 3, pp. 550-559. [ DOI : 10.1016/j.insmatheco.2013.03.010 ]
http://hal.inria.fr/hal-00763978
[20]
J.-B. Durand, S. Girard, V. Ciriza, L. Donini.
Optimization of power consumption and user impact based on point process modeling of the request sequence, in: Journal of the Royal Statistical Society Series C, March 2013, vol. 62, no 2, pp. 151-165. [ DOI : 10.1111/j.1467-9876.2012.01053.x ]
http://hal.inria.fr/hal-00412509
[21]
J.-B. Durand, B. Guitton, J. Peyhardi, Y. Holtz, Y. Guédon, C. Trottier, E. Costes.
New insights for estimating the genetic value of F1 apple progenies for irregular bearing during the first years of tree production, in: Journal of Experimental Botany, November 2013, vol. 64, no 16, pp. 5099-5113. [ DOI : 10.1093/jxb/ert297 ]
http://hal.inria.fr/hal-00845353
[22]
J. El Methni, L. Gardes, S. Girard.
Nonparametric estimation of extreme risk measures from conditional heavy-tailed distributions, in: Scandinavian Journal of Statistics, 2014, to appear.
http://hal.inria.fr/hal-00830647
[23]
F. Enikeeva, D. Morche, A. Oguz.
Yield Improvement by the Redundancy Method for Component Calibration, in: Electronics Letters, June 2013, vol. 49, no 13, pp. 824-826. [ DOI : 10.1049/el.2012.4170 ]
http://hal.inria.fr/hal-00932560
[24]
F. Forbes, M. Charras-Garrido, L. Azizi, S. Doyle, D. Abrial.
Spatial risk mapping for rare disease with hidden Markov fields and variational EM, in: Annals Of Applied Statistics, June 2013, vol. 7, no 2, pp. 1192-1216. [ DOI : 10.1214/13-AOAS629 ]
http://hal.inria.fr/hal-00839184
[25]
F. Forbes, D. Wraith.
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweights: Application to robust clustering, in: Statistics and Computing, 2013, To appear. [ DOI : 10.1007/s11222-013-9414-4 ]
http://hal.inria.fr/hal-00823451
[26]
S. Girard, A. Guillou, G. Stupfler.
Frontier estimation with kernel regression on high order moments, in: Journal of Multivariate Analysis, April 2013, vol. 116, pp. 172-189. [ DOI : 10.1016/j.jmva.2012.12.001 ]
http://hal.inria.fr/hal-00499369
[27]
S. Girard, A. Guillou, G. Stupfler.
Uniform strong consistency of a frontier estimator using kernel regression on high order moments, in: ESAIM: Probability and Statistics, 2013, to appear. [ DOI : 10.1051/ps/2013050 ]
http://hal.inria.fr/hal-00764425
[28]
M.-J. Martinez, E. Holian.
An alternative estimation approach for the heterogeneity linear mixed model, in: Communications in Statistics - Simulation and Computation, September 2013, (to appear). [ DOI : 10.1080/03610918.2012.762389 ]
http://hal.inria.fr/hal-00926620

Articles in National Peer-Reviewed Journals

[29]
L. Gardes, S. Girard.
Estimation de quantiles extrêmes pour les lois à queue de type Weibull : une synthèse bibliographique, in: Journal de la Société Française de Statistique, 2013, vol. 154, no 2, pp. 98-118.
http://hal.inria.fr/hal-00799249

International Conferences with Proceedings

[30]
S. Badillo, T. Vincent, P. Ciuciu.
Multi-session extension of the joint-detection framework in fMRI, in: ISBI 2013 - International Symposium on BIomedical Imaging: From Nano to Macro, San Fransisco, United States, IEEE, 2013, pp. 1512-1515. [ DOI : 10.1109/ISBI.2013.6556822 ]
http://hal.inria.fr/hal-00854624
[31]
C. Bakhous, F. Forbes, T. Vincent, M. Dojat, P. Ciuciu.
Variational Variable Selection To Assess Experimental Condition Relevance In Event-Related fMRI, in: ISBI 2013 - 10th IEEE International Symposium on Biomedical Imaging, San Francisco, United States, IEEE, April 2013, pp. 1508-1511. [ DOI : 10.1109/ISBI.2013.6556821 ]
http://hal.inria.fr/hal-00859391
[32]
A. Dambreville, P. Fernique, C. Pradal, P.-E. Lauri, F. Normand, Y. Guédon, J.-B. Durand.
Deciphering mango tree asynchronisms using Markov tree and probabilistic graphical models, in: FSPM2013 - 7th International Workshop on Functional-Structural Plant Models, Saariselkä, Finland, R. Sievänen, E. Nikinmaa, C. Godin, A. Lintunen, P. Nygren (editors), 2013, pp. 210-212, ISBN 978-951-651-408-9.
http://hal.inria.fr/hal-00847614
[33]
A. Daouia, L. Gardes, S. Girard.
Nonparametric extremal quantile regression, in: EVA 2013 - 8th International Conference on Extreme Value Analysis, Shanghai, China, 2013.
http://hal.inria.fr/hal-00851124
[34]
A. Daouia, S. Girard, A. Guillou.
A gamma-moment approach to monotonic boundaries estimation: with applications in econometric and nuclear fields, in: EVA 2013 - 8th International Conference on Extreme Value Analysis, Shanghai, China, 2013.
http://hal.inria.fr/hal-00851125
[35]
A. Deleforge, F. Forbes, R. Horaud.
Variational EM for Binaural Sound-Source Separation and Localization, in: ICASSP 2013 - 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, IEEE, 2013, pp. 76-80. [ DOI : 10.1109/ICASSP.2013.6637612 ]
http://hal.inria.fr/hal-00823453
[36]
E. H. Deme, S. Girard, A. Guillou.
Reduced-biased estimators of the Conditional Tail Expectation for heavy-tailed distributions, in: Mathematical Statistics and Limit Theorems, Conference in honor of Prof. Paul Deheuvels, Paris, France, 2013.
http://hal.inria.fr/hal-00837681
[37]
J.-B. Durand, B. Guitton, J. Peyhardi, Y. Holtz, Y. Guédon, C. Trottier, E. Costes.
Estimating the genetic value of F1 apple progenies for irregular bearing during first years of production, in: FSPM2013 - 7th International Workshop on Functional-Structural Plant Models, Saariselkä, Finland, R. Sievänen, E. Nikinmaa, C. Godin, A. Lintunen, P. Nygren (editors), June 2013, pp. 13-15.
http://hal.inria.fr/hal-00847593
[38]
J. El Methni, L. Gardes, S. Girard.
Nonparametric estimation of extreme risks from heavy-tailed distributions, in: Extremes in Vimeiro Today, Vimeiro, Portugal, September 2013.
http://hal.inria.fr/hal-00862759
[39]
J. El Methni, S. Girard, L. Gardes.
Estimation of Extreme Risk Measures from Heavy-tailed distributions, in: EVA 2013 - 8th Conference on Extreme Value Analysis, probabilistic and statistical models and their applications, Shanghai, China, 2013.
http://hal.inria.fr/hal-00845527
[40]
S. Joshi, A. Lombardot, M. Belleville, E. Beigne, S. Girard.
A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits, in: DATE 2013 - Design, Automation and Test in Europe, Grenoble, France, 2013.
http://hal.inria.fr/hal-00805478
[41]
Best Paper
V. Khalidov, F. Forbes, R. Horaud.
Alignment of Binocular-Binaural Data Using a Moving Audio-Visual Target, in: MMSP 2013 - IEEE International Workshop on Multimedia Signal Processing, Pula (Sardinia), Italy, IEEE, September 2013, pp. 242-247, Best Paper Award. [ DOI : 10.1109/MMSP.2013.6659295 ]
http://hal.inria.fr/hal-00861482
[42]
G. Mazo, S. Girard, F. Forbes.
A parsimonious multivariate copula for tail dependence modeling, in: EVT 2013 - Extremes in Vimeiro Today, Vimeiro, Portugal, September 2013.
http://hal.inria.fr/hal-00863540
[43]
T. Vincent, F. Forbes, P. Ciuciu.
Bayesian BOLD and perfusion source separation and deconvolution from functional ASL imaging, in: ICASSP 2013 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, IEEE, May 2013, pp. 1003-1007. [ DOI : 10.1109/ICASSP.2013.6637800 ]
http://hal.inria.fr/hal-00859373
[44]
T. Vincent, J. Warnking, M. Villien, A. Krainik, P. Ciuciu, F. Forbes.
Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data, in: MICCAI 2013 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Nagoya, Japan, K. Mori, I. Sakuma, Y. Sato, C. Barillot, N. Navab (editors), Lecture Notes in Computer Science, Springer, June 2013, vol. 8150, pp. 616-623. [ DOI : 10.1007/978-3-642-40763-5_76 ]
http://hal.inria.fr/hal-00854437

National Conferences with Proceedings

[45]
C. Bakhous, F. Forbes, F. Enikeeva, T. Vincent, M. Dojat, P. Ciuciu.
Analyse parcimonieuse des données d'IRM fonctionnelle dans un cadre bayésien variationnel, in: 45èmes Journées de Statistique, Toulouse, France, Société Française de Statistique, May 2013.
http://hal.inria.fr/hal-00933701
[46]
J. El Methni, L. Gardes, S. Girard.
Estimation de mesures de risque extrêmes, in: 45èmes Journées de Statistique, Toulouse, France, 2013, organisées par la Société Française de Statistique.
http://hal.inria.fr/hal-00829625
[47]
J. El Methni, S. Girard, L. Gardes.
Estimation de mesures de risque pour des pluies extrêmes dans la région Cévennes-Vivarais, in: Evénements extrêmes d'inondation : de l'étude de l'aléa à la gestion du risque pour les ouvrages hydrauliques, Lyon, France, 2013.
http://hal.inria.fr/hal-00905192
[48]
A. Studeny, F. Forbes, E. Coissac, A. Viari, C. Mercier, L. Zinger, A. Bonin, F. Boyer, P. Taberlet.
Spatial modelling of plant diversity from high-throughput environmental dna sequence data, in: 45èmes Journées de Statistique, Toulouse, France, Société Française de Statistique, May 2013.
http://hal.inria.fr/hal-00933699

Conferences without Proceedings

[49]
E. H. Deme, L. Gardes, S. Girard.
Estimation of the second order parameter for heavy-tailed distributions, in: ERCIM 2013 - 6th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, United Kingdom, December 2013.
http://hal.inria.fr/hal-00915698
[50]
J.-B. Durand, P. Fernique.
Approche graphique pour la modélisation statistique de la dépendance entre activités journalières, in: Workshop "Statistique, Transport et Activités", Grenoble, France, November 2013.
http://mistis.inrialpes.fr/workshop-statistique-transport.html, http://hal.inria.fr/hal-00919372
[51]
P. Fernique, J.-B. Durand, Y. Guédon.
Parametric Modelling of Multivariate Count Data Using Probabilistic Graphical Models, in: AIGM13 - 3rd Workshop on Algorithmic issues for Inference in Graphical Models, Paris, France, September 2013.
http://hal.inria.fr/hal-00918597
[52]
M.-J. Martinez, E. Holian.
An alternative estimation approach to fit a heterogeneity linear mixed model, in: ERCIM 2013 - 6th International Conference of the ERCIM Working Group on Computational and Methodological Statistics, Londres, United Kingdom, December 2013.
http://hal.inria.fr/hal-00926627
[53]
G. Mazo, S. Girard, F. Forbes.
A copula to handle tail dependence in high dimension, in: ERCIM 2013 - 6th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, United Kingdom, December 2013.
http://hal.inria.fr/hal-00915690

Scientific Books (or Scientific Book chapters)

[54]
P. CIUCIU, F. Forbes, T. Vincent, L. Chaari.
Détection-estimation conjointe en IRM fonctionnelle, in: Méthodes d'inversion appliquées au traitement du signal et de l'image, J.-F. Giovannelli, J. Idier (editors), Hermès, November 2013.
http://hal.inria.fr/hal-00823455

Internal Reports

[55]
A. Deleforge, F. Forbes, R. Horaud.
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables, December 2013.
http://hal.inria.fr/hal-00863468

Other Publications

[56]
C. Amblard, S. Girard, L. Menneteau.
Bivariate copulas defined from matrices, October 2013.
http://hal.inria.fr/hal-00875303
[57]
R. Coudret, S. Girard, J. Saracco.
A new sliced inverse regression method for multivariate response, 2013.
http://hal.inria.fr/hal-00714981
[58]
E. H. Deme, S. Girard, A. Guillou.
Reduced-bias estimator of the Conditional Tail Expectation of heavy-tailed distributions, September 2013.
http://hal.inria.fr/hal-00823260
[59]
F. Enikeeva, Z. Harchaoui.
High-dimensional change-point detection with sparse alternatives, 2013.
http://hal.inria.fr/hal-00933185
[60]
S. Girard, G. Stupfler.
Intriguing properties of extreme geometric quantiles, September 2013.
http://hal.inria.fr/hal-00865767
[61]
G. Mazo, S. Girard, F. Forbes.
A class of high dimensional copulas based on products of bivariate copulas, 2013.
http://hal.inria.fr/hal-00910775
[62]
B. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, E. Gerstner, M.-A. Weber, T. Arbel, B. Avants, N. Ayache, P. Buendia, L. Collins, N. Cordier, J. Corso, A. Criminisi, T. Das, H. Delingette, C. Demiralp, C. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes, E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. Iftekharuddin, R. Jena, N. John, E. Konukoglu, D. Lashkari, J. Antonio Mariz, R. Meier, S. Pereira, D. Precup, S. J. Price, T. Riklin-Raviv, S. Reza, M. Ryan, L. Schwartz, H.-C. Shin, J. Shotton, C. Silva, N. Sousa, N. Subbanna, G. Szekely, T. Taylor, O. Thomas, N. Tustison, G. Unal, F. Vasseur, M. Wintermark, D. Hye Ye, L. Zhao, B. Zhao, D. Zikic, M. Prastawa, M. Reyes, K. Van Leemput.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS), January 2014.
http://hal.inria.fr/hal-00935640
References in notes
[63]
C. Bakhous, F. Forbes, T. Vincent, L. Chaari, M. Dojat, P. Ciuciu.
Adaptive experimental condition selection in event-related fMRI, in: ISBI 2012 - IEEE International Symposium on Biomedical Imaging, Barcelone, Spain, IEEE, May 2012, pp. 1755-1758. [ DOI : 10.1109/ISBI.2012.6235920 ]
http://hal.inria.fr/cea-00710489
[64]
C. Bouveyron.
Modélisation et classification des données de grande dimension. Application à l'analyse d'images, Université Grenoble 1, septembre 2006.
http://tel.archives-ouvertes.fr/tel-00109047
[65]
P. Embrechts, C. Klüppelberg, T. Mikosh.
Modelling Extremal Events, Applications of Mathematics, Springer-Verlag, 1997, vol. 33.
[66]
F. Ferraty, P. Vieu.
Nonparametric Functional Data Analysis: Theory and Practice, Springer Series in Statistics, Springer, 2006.
[67]
S. Girard.
Construction et apprentissage statistique de modèles auto-associatifs non-linéaires. Application à l'identification d'objets déformables en radiographie. Modélisation et classification, Université de Cery-Pontoise, octobre 1996.
[68]
Y. Goegebeur, J. Beirlant, T. de Wet.
Kernel estimators for the second order parameter in extreme value statistics, in: Journal of Statistical Planning and Inference, 2010, vol. 140, no 9, pp. 2632–2652.
[69]
M. Gomes, L. de Haan, L. Peng.
Semi-parametric Estimation of the Second Order Parameter in Statistics of Extremes, in: Extremes, 2002, vol. 5, no 4, pp. 387–414.
[70]
D. Koller, N. Friedman.
Probabilistic graphical models: principles and techniques, MIT press, 2009.
[71]
K. Li.
Sliced inverse regression for dimension reduction, in: Journal of the American Statistical Association, 1991, vol. 86, pp. 316–327.
[72]
R. Nelsen.
An introduction to copulas, Lecture Notes in Statistics, Springer-Verlag, New-York, 1999, vol. 139.