Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment [HAL link]
Mikael Falconnet, Dasha Loukianova and Catherine Matias
February 201

Maximum likelihood estimator consistency for ballistic random walk in a parametric random environment [HAL link]
arXiv: 1210.6328
Francis Comets, Mikael Falconnet, Oleg Loukianov, Dasha Loukianova and Catherine Matias
October 2012

Nonparametric estimation of the density of the alternative hypothesis in a multiple testing setup. Application to local false discovery rate estimation.
Van Hanh Nguyen and Catherine Matias
October 2012

Convergence of the groups posterior distribution in latent or stochastic block models.
Mahendra Mariadassou and Catherine Matias
June 2012

Chaînes de Markov et absoption. Application à l'algorithme de Fu en génomique.
Bernard Prum
February 2012

Is it possible to construct an asymptotically efficient estimator of the proportion of true null hypotheses in a multiple testing setup?
Van Hanh Nguyen and Catherine Matias
December 2011

Classification and estimation in the Stochastic Block Model based on the empirical degrees.
Antoine Channarond, Jean-Jacuqes Daudin and Stéphane Robin
November 2011

Mapping reads on a genomic sequence: an algorithmic overview and a practical comparative analysis
Sophie Schbath, Véronique Martin, Matthias Zytnicki, Julien Fayolle, Valentin Loux and jean-François Gibrat
November 2011
Published in Journal of Computational Biology (2012)

A context dependent pair hidden Markov model for statistical alignment
Ana Arribas-Gil and Catherine Matias
July 2011
Published in Statistical Applications in Genetics and Molecular Biology (2012)

On false discovery rate thresholding for classification under sparsity
Pierre Neuvial and Etienne Roquain
July 2011

Unsupervised classification for tiling arrays: ChIP-chip and transcriptome
Caroline Bérard, Marie-Laure Martin-Magniette, Véronique Brunaud, Sébastien Aubourg and Stéphane Robin
April 2011

Sparsity with sign-coherent groups of variables via the cooperative-Lasso
Julien Chiquet, Yves Grandvalet and Camille Charbonnier
March 2011

Parameter identifiability in a class of random graph mixture models
Elizabeth S. Allman, Catherine Matias and John A. Rhodes
June 2010
Published in Journal of Statistical Planning and Inference (2011)

New consistent and asymptotically normal estimators for random graph mixture models
Christophe Ambroise and Catherine Matias
April 2010
Published in Journal of the Royal Statistical Society: Series B (2012)

Inferring multiple graphical models
Julien Chiquet, Yves Grandvalet, Christophe Ambroise
December 2009
Published in Statistics and Computing (2010).

Weighted-Lasso for Structured Network Inference from Time Course Data
Camille Charbonnier, Julien Chiquet and Christophe Ambroise
December 2009
Published in Statistical Applications in Genetics and Molecular Biology. 9 article 15.

Overlapping stochastic block models
Pierre Latouche, Etienne Birmelé and Christophe Ambroise
September 2009

Adaptative estimation for Hawkes' processes; application to genome analysis
Patricia Reynaud-Bouret and Sophie Schbath
August 2009
Published in Annals of Statistics, 38 (5) 2781-2822.

Detecting network motifs by local concentration
Etienne Birmelé
March 2009

Ideal-type model for random networks
Jean-Jacques Daudin and Laurent Pierre
January 2009
Published in Biometrics (2010).

Inferring sparse Gaussian graphical models with latent structure
Christophe Ambroise, Julien Chiquet and Catherine Matias
October 2008
Published in Electronic Journal of Statistics. 3 205-238.

MixThres: mixture models to define a hybridization threshold in DNA microarray experiments
Franck Picard, Marie-Laure Martin-Magniette, S. Gagnot, Véronique Brunaud, Julie Aubert, V. Gendrel, Stéphane Robin, Michel Caboche, Alain Lecharny et Vincent Colot.
October 2008

Identifiability of latent class models with many observed variables
Elizabeth S. Allman, Catherine Matias and John A. Rhodes
October 2008
Published in Annals of Statistics. 37 3099-3132

ABC methods for model choice in Gibbs random fields; Application to protein 3D structure prediction
Aude Grelaud, Christian P. Robert, Jean-Michel Marin, François Rodolphe and Jean-François Taly
September 2008

Bayesian methods for graph clustering
Pierre latouche, Etienne Birmelé and Christophe Ambroise
September 2008
Published in Advances in Data Analysis, Data Handling and Business Intelligence (2009). Springer.

Assessing the validity domains of graphical gaussian models in order to infer relationships among components of complex biological systems
Fanny Villers, Brigitte Schaeffer, Caroline Bertin and Sylvie Huet
July 2008
Published in Statistical Applications in Genetics and Molecular Biology, 7(2): paper 14.

Assessing the exceptionality of coloured motifs in networks
Sophie Schbath, Vincent Lacroix and Marie-France Sagot
June 2008
Published in EURASIP Journal on Bioinformatics and Systems Biology (2009)
 

Strategies for online inference of network mixture
Hugo Zanghi, Franck Picard, Vincent Miele and Christope Ambroise
May 2008

A leave-p-out based estimation of the proportion of null hypotheses
Alain Célisse and Stéphane Robin
April 2008
Published in CSDA (2008) vol. 52, pp 2350--2368.

Using CART to detect multiple change points in the mean for large samples.
Servane Gey and Emilie Lebarbier
February 2008

Simultaneous occurrences of runs in independent Markov chains.
Stéphane Robin and Valery Stefanov
February 2008 
Published in Methodology and Computing in Applied Probability (2008) DOI:10.1007/s11009-008-9093-3

Uncovering latent structure in valued graphs: a variational approach.
Mahendra Mariadassou and Stéphane Robin
October 2007

Change-points detection for discrete sequences via model selection.
Emilie Lebarbier and Elodie Nédélec
April 2007

Fast online graph clustering via Erdös-Rényi mixture.
Hugo Zanghi, Christophe Ambroise and Vincent Miele
April 2007
Published in Pattern Recognition (2008) vol. 41, pp 3592--3599.

An introduction to mixture models.
Franck Picard
March 2007

An introduction to process segmentation.
Franck Picard
March 2007

Joint segmentation of multivariate Gaussian processes using mixed linear models.
Franck Picard, Emilie Lebarbier, Eva Budinska and Stéphane Robin
March 2007

Mixture model for random graphs: a variational approach.
Jean-Jacques Daudin, Franck Picard and Stéphane Robin
February 2007
Published in Statistics and Computing (2008) vol. 18, pp 173--183

A semi-parametric approach for mixture models: Application to local FDR estimation.
Stéphane Robin, Avner Bar-Hen and Jean-Jacques Daudin
January 2007
Published in Comput. Statist. Data Analysis (2007) vol. 51, pp 5483--5493.

Theoretical description of chromosome architecture after multiple back-crossing.
François Rodolphe, Juliette Martin and Emmanuelle Della-Chiesa
January 2007
Published in Theoretical Population Biology (2008) vol. 73 289-299

Assessing the exceptionality of network motifs.
Franck Picard, Jean-Jacques Daudin, Sophie Schbath and Stéphane Robin
November 2006
Published in J. Comp. Biol. (2008) vol. 15, pp 1-20.