Team MISTIS

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

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, p. 1–15.
[2]
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, p. 699–712.
[3]
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, p. 131-144.
[4]
B. Chalmond, S. Girard.
Nonlinear modeling of scattered multivariate data and its application to shape change, in: IEEE Trans. PAMI, 1999, vol. 21(5), p. 422–432.
[5]
F. Forbes, N. Peyrard.
Hidden Markov Random Field Model Selection Criteria based on Mean Field-like Approximations, in: in IEEE trans. PAMI, August 2003, vol. 25(9), p. 1089–1101.
[6]
F. Forbes, A. E. Raftery.
Bayesian Morphology: Fast Unsupervised Bayesian Image analysis, in: Journal of the American Statistical Association, 1999, vol. 94, no 446, p. 555-568.
[7]
G. Fort, E. Moulines.
Convergence of the Monte-Carlo EM for curved exponential families, in: Annals of Statistics, 2003, vol. 31, no 4, p. 1220-1259.
[8]
S. Girard.
A Hill type estimate of the Weibull tail-coefficient, in: Communication in Statistics - Theory and Methods, 2004, vol. 33, no 2, p. 205–234.

Publications of the year

Articles in refereed journals and book chapters

[9]
C. Bouveyron, S. Girard, C. Schmid.
High dimensional data clustering, in: Computational Statistics and Data Analysis, 2007, vol. 52, p. 502–519.
[10]
C. Bouveyron, S. Girard, C. Schmid.
High dimensional discriminant analysis, in: Communication in Statistics - Theory and Methods, 2007, vol. 36, no 14.
[11]
C. Chen, E. Durand, F. Forbes, O. Francois.
Bayesian Clustering Algorithms ascertaining spatial population structure: a new computer program and a comparison study, in: Molecular Ecology Notes, 2007, vol. 7, no 5, p. 747-756.
[12]
J. Diebolt, M. Garrido, S. Girard.
A Goodness-of-fit Test for the Distribution Tail, in: Extreme Value Distributions, New-York, M. Ahsanulah, S. Kirmani (editors), Nova Science, 2007, p. 95–109.
[13]
F. Forbes, G. Fort.
Combining Monte Carlo and Mean field like methods for inference in hidden Markov Random Fields, in: IEEE trans. on Image Processing, 2007, vol. 16, no 3, p. 824-837.
[14]
S. Girard, S. Iovleff.
Auto-associative models, nonlinear Principal component analysis, manifolds and projection pursuit, in: Principal Manifolds for Data Visualisation and Dimension Reduction, A. Gorban, et al (editors), LNCSE, Springer-Verlag, 2007, vol. 28, p. 205–222.

Publications in Conferences and Workshops

[15]
C. Bernard-Michel, C. de Fouquet.
Modélisation géostatistique des débits le long des cours d'eau, in: 39èmes Journées de Statistique de la Société Française de Statistique, Angers, France, Avril 2007.
[16]
C. Bernard-Michel, S. Douté, L. Gardes, S. Girard.
Estimation of Mars surface physical properties from hyperspectral images using the S.I.R. method, in: International Symposium on Applied Stochastic Models and Data Analysis, Chania, Crete, mai 2007.
[17]
J. Blanchet, F. Forbes, M. Vignes.
Clustering with incomplete dependent data, in: 39èmes Journées de Statistique de la Société Française de Statistique, Angers, France, Avril 2007.
[18]
J. Blanchet, M. Vignes.
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach, in: 7th IEEE BIBE Conference, Boston, USA, 2007, p. 366-373.
[19]
C. Conteduca, G. Molini�, S. Girard, L. Gardes.
Severe storms in mountainous Mediterranean regions: Uncertainties on extreme rainfall estimations, in: 9th Plinius Conference on Mediterranean Storms, Varenna, Italie, septembre 2007.
[20]
J.-B. Durand.
Calcul de probabilités et estimation dans des modèles de Markov cachés graphiques, in: 39èmes Journées de Statistique de la Société Française de Statistique, Angers, France, Avril 2007.
[21]
L. Gardes, S. Girard.
Nonparametric estimation of the conditional tail index, in: Statistical Extremes and Environmental Risk Workshop, Lisbonne, février 2007, p. 47–50.
[22]
L. Gardes, S. Girard.
Some nonparametric estimators of the conditional tail index, in: Fifth International Symposium on Extreme Value Analysis, Berne, juillet 2007.
[23]
S. Girard, P. Jacob.
Boundary estimation via regression on high power-transformed data, in: 56th Session of the International Statistical Institute, Lisbonne, aout 2007.
[24]
Y. Kabir, M. Dojat, B. Scherrer, F. Forbes, C. Garbay.
Multimodal MRI segmentation of ischemic stroke lesions, in: EMBC, Lyon, France, 2007.
[25]
B. Scherrer, M. Dojat, F. Forbes, C. Garbay.
LOCUS : LOcal Cooperative Unified Segmentation of MRI Brain Scans, in: 10th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI07, Brisbane, Australia, 2007.
[26]
B. Scherrer, M. Dojat, F. Forbes, C. Garbay.
MRF Agent Based Segmentation : Application to MRI Brain Scans, in: 11th Conference on Artificial Intelligence In Medicine, AIME07, Amsterdam, Netherlands, 2007.

References in notes

[27]
C. Amblard, S. Girard.
Symmetry and dependence properties within a semiparametric family of bivariate copulas, in: Nonparametric Statistics, 2002, vol. 14, no 6, p. 715–727.
[28]
C. Bouveyron.
Modélisation et classification des données de grande dimension. Application à l'analyse d'images, Ph. D. Thesis, Université Grenoble 1, septembre 2006
http://tel.archives-ouvertes.fr/tel-00109047.
[29]
C. Chen, F. Forbes, O. Francois.
FASTRUCT: Model-based clustering made faster, in: Molecular Ecology Notes, 2006, vol. 6, p. 980–983.
[30]
P. Embrechts, C. Klüppelberg, T. Mikosh.
Modelling Extremal Events, Applications of Mathematics, Springer-Verlag, 1997, vol. 33.
[31]
F. Ferraty, P. Vieu.
Nonparametric Functional Data Analysis: Theory and Practice, Springer Series in Statistics, Springer, 2006.
[32]
O. Francois, S. Ancelet, G. Guillot.
Bayesian clustering using Hidden Markov Random Fields in spatial genetics, in: Genetics, 2006, p. 805–816.
[33]
L. Gardes.
Estimation d'une fonction quantile extrême, Ph. D. Thesis, Université Montpellier 2, october 2003.
[34]
M. Garrido.
Modélisation des événements rares et estimation des quantiles extrêmes, méthodes de sélection de modèles pour les queues de distribution, Ph. D. Thesis, Université Grenoble 1, juin 2002
http://mistis.inrialpes.fr/people/girard/Fichiers/theseGarrido.pdf.
[35]
S. Girard.
Construction et apprentissage statistique de modèles auto-associatifs non-linéaires. Application à l'identification d'objets déformables en radiographie. Modélisation et classification, Ph. D. Thesis, Université de Cery-Pontoise, octobre 1996.
[36]
K. Li.
Sliced inverse regression for dimension reduction, in: Journal of the American Statistical Association, 1991, vol. 86, p. 316–327.
[37]
R. B. Nelsen.
An introduction to copulas, Lecture Notes in Statistics, Springer-Verlag , New-York, 1999, vol. 139.
[38]
J. Pritchard, M. Stephens, P. Donnelly.
Inference of Population Structure Using Multilocus Genotype Data, in: Genetics, 2000, vol. 155, p. 945–959.

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