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- Research Report n°37
Chaînes de Markov et absoption. Application à l'algorithme de Fu en génomique.
Bernard Prum
February 2012
- Research Report n°36
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
- Research Report n°35
Classification and estimation in the Stochastic Block Model based on the empirical degrees.
Antoine Channarond, Jean-Jacuqes Daudin and Stéphane Robin
November 2011
- Research Report n°34 (published version)
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)
- Research Report n°33 (published version)
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)
- Research Report n°32
On false discovery rate thresholding for classification under sparsity
Pierre Neuvial and Etienne Roquain
July 2011
- Research Report n°31
Unsupervised classification for tiling arrays: ChIP-chip and transcriptome
Caroline Bérard, Marie-Laure Martin-Magniette, Véronique Brunaud, Sébastien Aubourg and Stéphane Robin
April 2011
- Research Report n°30
Sparsity with sign-coherent groups of variables via the cooperative-Lasso
Julien Chiquet, Yves Grandvalet and Camille Charbonnier
March 2011
- Research Report n°29 (published version)
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)
- Research Report n°28 (published version)
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)
- Research Report n°27 (published version)
Inferring multiple graphical models
Julien Chiquet, Yves Grandvalet, Christophe Ambroise
December 2009
Published in Statistics and Computing (2010).
- Research Report n°26 (published version)
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.
- Research Report n°25
Overlapping stochastic block models
Pierre Latouche, Etienne Birmelé and Christophe Ambroise
September 2009
- Research Report n°24 (published version)
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.
- Research Report n°23
Detecting network motifs by local concentration
Etienne Birmelé
March 2009
- Research Report n°22 (published version)
Ideal-type model for random networks
Jean-Jacques Daudin and Laurent Pierre
January 2009
Published in Biometrics (2010).
- Research Report n°21 (published version)
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.
- Research Report n°20
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
- Research Report n°19 (published version)
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
- Research Report n°18
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
- Research Report n°17
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.
- Research Report n°16
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.
- Research Report n°15 (published version)
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)
- Research Report n°14
Strategies for online inference of network mixture
Hugo Zanghi, Franck Picard, Vincent Miele and Christope Ambroise
May 2008
- Research Report n°13 (published version)
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.
- Research Report n°12
Using CART to detect multiple change points in the mean for large samples.
Servane Gey and Emilie Lebarbier
February 2008
- Research Report n°11 (Published version)
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
- Research Report n°10
Uncovering latent structure in valued graphs: a variational approach.
Mahendra Mariadassou and Stéphane Robin
October 2007
- Research Report n°9
Change-points detection for discrete sequences via model selection.
Emilie Lebarbier and Elodie Nédélec
April 2007
- Research Report n°8 (Published version)
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.
- Research Report n°7
An introduction to mixture models.
Franck Picard
March 2007
- Research Report n°6
An introduction to process segmentation.
Franck Picard
March 2007
- Research Report n°5
Joint segmentation of multivariate Gaussian processes using mixed linear models.
Franck Picard, Emilie Lebarbier, Eva Budinska and Stéphane Robin
March 2007
- Research Report n°4 (Published version)
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
- Research Report n°3 (Published version)
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.
- Research Report n°2
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
- Research Report n°1 (Published version)
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.
