Bibliography

Major publications by the team in recent years

1S. Arlot, A. Célisse.

Segmentation of the mean of heteroscedastic data via cross-validation, in: Statistics and Computing, 2010, p. 1–20.

http://www.springerlink.com/content/jq202v115512u26p/
2C. Biernacki.

Pourquoi les modèles de mélange pour la classification ?, in: La Revue de Modulad, 2009, vol. 40, p. 1–22.
3C. Biernacki, G. Celeux, G. Govaert.

Exact and Monte Carlo Calculations of Integrated Likelihoods for the Latent Class Model, in: Journal of Statistical and Planning Inference, 2010, n^o 1, p. 2991–-3002.
4C. Biernacki, J. Jacques.

A generative model for rank data based on sorting algorithm, in: Computational Statistics and Data Analysis, 2013, n^o 58, p. 162–176.
5A. Célisse, J.-J. Daudin, L. Pierre.

Consistency of maximum likelihood and varitional estimators in stochastic block moddel, in: Electronic Journal of Statistics, 2012, p. 1847–1899.

http://projecteuclid.org/handle/euclid.ejs
6M. Giacofci, S. Lambert-Lacroix, G. Marot, F. Picard.

Wavelet-based clustering for mixed-effects functional models in high dimension, in: Biometrics, 2012, to appear.
7M. Guedj, A. Célisse, G. Nuel.

kerfdr: A semi-parametric kernel-based approach to local FDR estimations, in: BMC Bioinformatics, 2009, vol. 84, n^o 10, (electronic).
8J. Jacques, C. Biernacki.

Extension of model-based classification for binary data when training and test populations differ, in: Journal of Applied Statistics, 2010, vol. 37, n^o 5, p. 749–766.
9J. Jacques, C. Preda.

Funclust : a curves clustering method using functional random variable density approximation, in: Neurocomputing, 2012, to appear.
10A. Lourme, C. Biernacki.

Simultaneous Gaussian Model-Based Clustering for Samples of Multiple Origins, in: Computational Statistics, 2012, to appear.

Publications of the year

Doctoral Dissertations and Habilitation Theses

11J. Jacques.

Contribution to statistical learning of complex data using generative models, University Lille 1, 2012.

Articles in International Peer-Reviewed Journals

12A. Célisse, J.-J. Daudin, L. Pierre.

Consistency of maximum likelihood and varitional estimators in stochastic block moddel, in: Electronic Journal of Statistics, 2012, p. 1847–1899.

http://projecteuclid.org/handle/euclid.ejs
13V. Damien, H. Isabelle, D. Séverine, D. Sébastien, G. Marot, D. Olivier, G. Guy, H. Patrice, P. Andrew, C. Gilles, G. Bénédicte.

Pre- and Post-Partum Mild Underfeeding Influences Gene Expression in the Reproductive Tract of Cyclic Dairy Cows, in: Reproduction in Domestic Animals, November 2012.

http://dx.doi.org/10.1111/rda.12113
14M.-A. Dillies, A. Rau, A. Julie, M. Jeanmougin, N. Servant, C. Keime, G. Marot, D. Castel, E. Jordi, G. Guernec, J. Bernd, L. Jouneau, D. Laloe, C. Le Gall, B. Schaeffer, S. Le Crom, M. Guedj, F. Jaffrézic.

A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis, in: Briefings in Bioinformatics, September 2012.
15M. Giacofci, S. Lambert-Lacroix, G. Marot, F. Picard.

Wavelet-based clustering for mixed-effects functional models in high dimension, in: Biometrics, 2012, to appear.
16J. Jacques, C. Preda.

Funclust : a curves clustering method using functional random variable density approximation, in: Neurocomputing, 2012, to appear.
17A. Lourme, C. Biernacki.

Simultaneous Gaussian Model-Based Clustering for Samples of Multiple Origins, in: Computational Statistics, 2012, to appear.

International Conferences with Proceedings

18E. Eirola, A. Lendasse, V. Vandewalle, C. Biernacki.

Mixture of Gaussians for Distances Estimations with Missing Data, in: Workshop New Challenges in Neural Computation, March 2012, Machine Learning Reports 03/2012.
19J. Jacques, C. Preda.

Clustering multivariate functional data, in: COMPSTAT'12, Limassol, Chypre, August 2012.
20J. Jacques, C. Preda.

Curves clustering with approximation of the density of functional random variables, in: 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'12), Bruges, Belgium, April 2012.

National Conferences with Proceeding

21C. Biernacki, J. Jacques.

Modèle génératif pour données ordinales, in: 44e Journées de Statistique organisée par la Société Française de Statistique, Bruxelles, 2012.
22J. Jacques.

Classification automatique de données hétérogènes, in: 44e Journées de Statistique organisée par la Société Française de Statistique, Bruxelles, 2012.
23J. Jacques, C. Preda.

Functional data clustering using density approximation, in: 44e Journées de Statistique organisée par la Société Française de Statistique, Bruxelles, 2012.
24R. Lebret, S. Iovleff, C. Biernacki, J. Jacques, C. Preda, M. Alun, D. Olivier.

Genetic epistasis analysis using taxonomy3, in: 2nd International BIO-SI Workshop, Rennes, France, October 2012.
25R. Lebret, S. Iovleff, C. Biernacki, J. Jacques, C. Preda, M. Alun, D. Olivier.

Rapid multivariate analysis of 269 hapmap subjects and 1 million snps using taxonomy3, in: Cold Spring Harbor/Wellcome Trust meeting on Pharmacogenomics, Hinxton, UK, September 2012.
26M. Marbac, C. Biernacki, V. Vandewalle.

Modèle de mélange pour classifier des données qualitatives conditionnellement corrélées, in: 44e Journées de Statistique organisée par la Société Française de Statistique, Bruxelles, 2012.
27C. Thery, C. Biernacki, G. Loridant.

Décorrélation de variables en régression linéaire par modèles de sous-régressions, in: 44e Journées de Statistique organisée par la Société Française de Statistique, Bruxelles, 2012.
28L. Yengo, J. Jacques, C. Biernacki.

Classification et sélection de variables en régression, in: 44e Journées de Statistique organisée par la Société Française de Statistique, Bruxelles, 2012.

Conferences without Proceedings

29A. Amarioarei, C. Preda.

Approximation for the distribution of three-dimensional scan statistics, in: International Workshop on Applied Probability, Jerusalem, Israel, June 8-15 2012.
30P. Bhatia, S. Iovleff, G. Govaert.

Sofware for Co-clustering of Binary, Contingency and Continuous Data-sets, in: Workshop on Challenging problems in statistical learning, Lille, France, April 2012, Poster presentation.
31C. Biernacki, A. Lourme.

Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection, in: MBC 2 - Workshop on Model Based Clustering and Classification, Catania, Italy, September 6-7 2012.
32J. Hamon, C. Dhaenens, J. Jacques, G. Even.

Coopération entre optimisation combinatoire et statistique pour la sélection animale, in: 13e congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, Angers, France, April 2012.
33J. Hamon, C. Dhaenens, J. Jacques, G. Even.

Feature selection for high dimensional regression using local search and statistical criteria, in: 4th International Conference on Metaheuristics and Nature Inspired Computing, META'2012, Sousse, Tunisia, October 2012.
34R. Lebret, S. Iovleff, F. Langrognet.

Rmixmod: A MIXture MODelling R Package, in: Statlearn’12 - Workshop on Challenging problems in statistical learning, Lille, France, April 2012.
35M. Marbac, C. Biernacki, V. Vandewalle.

Model-based clustering for conditionally correlated categorical data, in: Statlearn'12, Workshop on "Challenging problems in Statistical Learning", Lille, France, April 2012.
36C. Thery, C. Biernacki, G. Loridant.

Decorrelating variables in high dimension for linear regression, in: Statlearn'12, Workshop on "Challenging problems in Statistical Learning", Lille, France, April 5-6 2012.

Scientific Books (or Scientific Book chapters)

37F. Beninel, C. Biernacki, C. Bouveyron, J. Jacques, A. Lourme.

Parametric link models for knowledge transfer in statistical learning, Knowledge Transfer: Practices, Types and Chalanges, Nova Publishers, 2012.

Internal Reports

38A. Amarioarei.

Approximation for the distribution of extremes of 1-dependent stationary sequences of random variables, preprint, 2012.
39A. Amarioarei, C. Preda.

Approximation for the distribution of three-dimensional scan statistics, preprint, 2012.
40P. Bhatia, S. Iovleff, G. Govaert.

blockcluster: An R Package C++ library for Latent block models : Theory, usage and application., preprint, 2012.
41C. Biernacki, A. Lourme.

Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection, Inria, 2012, n^o 7932.
42C. Biernacki, A. Lourme.

Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection, Inria, April 2012, n^o RR-7932, 21 p.

http://hal.inria.fr/hal-00688250
43J. Jacques, C. Biernacki.

Model-based clustering for multivariate partial ranking data, Inria, October 2012, n^o RR-8113, 25 p.

http://hal.inria.fr/hal-00743384
44R. Lebret, S. Iovleff, F. Langrognet, C. Biernacki, G. Celeux, G. Govaert.

Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library, preprint, 2012.
45M. Marbac, C. Biernacki, V. Vandewalle.

Model-based clustering for conditionally correlated categorical data, preprint, 2012.

Other Publications

46S. Arlot, A. Célisse, Z. Harchaoui.

Kernel change-point detection, 2012.

http://hal.inria.fr/hal-00671174
47A. Célisse.

Optimal cross-validation in density estimation, 2012.
48S. Iovleff.

Probabilistic Auto-Associative Models and Semi-Linear PCA, 2012.

http://hal.inria.fr/hal-00734070
49J. Jacques, C. Preda.

Model-based clustering for multivariate functional data, 2012.

http://hal.inria.fr/hal-00713334

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