Stéphane Robin

According to our database1, Stéphane Robin authored at least 43 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Epidemiologic network inference.
Statistics and Computing, 2020

Nine Quick Tips for Analyzing Network Data.
CoRR, 2019

Variational Inference for sparse network reconstruction from count data.
Proceedings of the 36th International Conference on Machine Learning, 2019

Matching in the large: An experimental study.
Games and Economic Behavior, 2018

Exact Bayesian inference for off-line change-point detection in tree-structured graphical models.
Statistics and Computing, 2017

Structured regularization for conditional Gaussian graphical models.
Statistics and Computing, 2017

SegCorr a statistical procedure for the detection of genomic regions of correlated expression.
BMC Bioinformatics, 2017

Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models.
Statistics and Computing, 2016

Inference in finite state space non parametric Hidden Markov Models and applications.
Statistics and Computing, 2016

Comparing change-point location in independent series.
Statistics and Computing, 2016

Modelling the influence of dimerisation sequence dissimilarities on the auxin signalling network.
BMC Systems Biology, 2016

Apprentissage de réseaux par agrégation bayésienne d'arbres couvrants.
Revue d'Intelligence Artificielle, 2015

Exact and approximate inference in graphical models: variable elimination and beyond.
CoRR, 2015

Hidden Markov Models with mixtures as emission distributions.
Statistics and Computing, 2014

Two-dimensional segmentation for analyzing Hi-C data.
Bioinformatics, 2014

Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data.
Algorithms for Molecular Biology, 2014

Least-squares estimation of a convex discrete distribution.
Computational Statistics & Data Analysis, 2013

Exact posterior distributions and model selection criteria for multiple change-point detection problems.
Statistics and Computing, 2012

Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency.
Computational Statistics & Data Analysis, 2012

Occurrence of structured motifs in random sequences: Arbitrary number of boxes.
Discrete Applied Mathematics, 2011

Joint segmentation of multivariate Gaussian processes using mixed linear models.
Computational Statistics & Data Analysis, 2011

Tailored Aggregation for Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Mélanges gaussiens bidimensionnels pour la comparaison de deux échantillons de chromatine immunoprécipitée.
Modulad, 2009

Deciphering the connectivity structure of biological networks using MixNet.
BMC Bioinformatics, 2009

Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation.
BMC Bioinformatics, 2009

Transcriptional landscape estimation from tiling array data using a model of signal shift and drift.
Bioinformatics, 2009

A mixture model for random graphs.
Statistics and Computing, 2008

Public policy, innovation and total factor productivity: An application to Taiwan's manufacturing industry.
Mathematics and Computers in Simulation, 2008

Assessing the Exceptionality of Network Motifs.
Journal of Computational Biology, 2008

Nonparametric density estimation by exact leave-p-out cross-validation.
Computational Statistics & Data Analysis, 2008

ChIPmix: mixture model of regressions for two-color ChIP-chip analysis.
Proceedings of the ECCB'08 Proceedings, 2008

Waiting times for clumps of patterns and for structured motifs in random sequences.
Discrete Applied Mathematics, 2007

A semi-parametric approach for mixture models: Application to local false discovery rate estimation.
Computational Statistics & Data Analysis, 2007

Statistical tests to compare motif count exceptionalities.
BMC Bioinformatics, 2007

A statistical approach for array CGH data analysis.
BMC Bioinformatics, 2005

AnovArray: a set of SAS macros for the analysis of variance of gene expression data.
BMC Bioinformatics, 2005

Correction: Determination of the differentially expressed genes in microarray experiments using local FDR.
BMC Bioinformatics, 2005

VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data.
Bioinformatics, 2005

Spotting effect in microarray experiments.
BMC Bioinformatics, 2004

Determination of the differentially expressed genes in microarray experiments using local FDR.
BMC Bioinformatics, 2004

Checking homogeneity of motifs' distribution in heterogenous sequences.
Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004

Numerical Comparison of Several Approximations of the Word Count Distribution in Random Sequences.
Journal of Computational Biology, 2002

Occurrence Probability of Structured Motifs in Random Sequences.
Journal of Computational Biology, 2002