S. Robin

发表

A Segmentation/Clustering Model for the Analysis of Array CGH Data

J. Daudin, F. Picard, S. Robin, 2007, Biometrics.

Microbial association networks give relevant insights into plant pathobiomes

David A. Bohan, Charlie Pauvert, J. Chiquet, 2020, bioRxiv.

A penalized criterion for variable selection in classification

J. Daudin, S. Robin, T. Mary-Huard, 2007 .

Accuracy of variational estimates for random graph mixture models

J. Daudin, S. Gazal, S. Robin, 2012 .

Degree‐based goodness‐of‐fit tests for heterogeneous random graph models: Independent and exchangeable cases

P. Latouche, S. Robin, S. Ouadah, 2015, Scandinavian Journal of Statistics.

Classification and estimation in the Stochastic Block Model based on the empirical degrees

J. Daudin, S. Robin, Antoine Channarond, 2011, 1110.6517.

Identification of DNA Motifs Implicated in Maintenance of Bacterial Core Genomes by Predictive Modeling

S. Schbath, S. Robin, C. Hennequet-Antier, 2007, PLoS genetics.

A robust approach for estimating change-points in the mean of an AR(p) process

S. Robin, C. L'evy-Leduc, S. Chakar, 2014, 1403.1958.

Exact or approximate inference in graphical models: why the choice is dictated by the treewidth, and how variable elimination can be exploited

S. D. Givry, T. Schiex, R. Sabbadin, 2019, Australian & New Zealand Journal of Statistics.

Amplification biases: possible differences among deviating gene expressions

Stéphane Robin, Isabelle Hue, Christelle Hennequet-Antier, 2008, BMC Genomics.

A compound Poisson model for word occurrences in DNA sequences

Stéphane Robin, S. Robin, 2002 .

Variational Inference of Sparse Network from Count Data

J. Chiquet, S. Robin, Mahendra Mariadasou, 2019 .

Variational inference for probabilistic Poisson PCA

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2017, The Annals of Applied Statistics.

Inference of Adaptive Shifts for Multivariate Correlated Traits

Stéphane Robin, Paul Bastide, Mahendra Mariadassou, 2017, bioRxiv.

A multivariate variable selection approach for analyzing LC-MS metabolomics data

L. Sansonnet, J. Chiquet, S. Robin, 2017, 1704.00076.

A leave-p-out based estimation of the proportion of null hypotheses

Alain Celisse, S. Robin, 2008, 0804.1189.

A closed-form approach to Bayesian inference in tree-structured graphical models

S. Robin, Loïc Schwaller, M. Stumpf, 2015, 1504.02723.

Bayesian Inference of Graphical Model Structures Using Trees

Stéphane Robin, Loïc Schwaller, S. Robin, 2015 .

A cross-validation based estimation of the proportion of true null hypotheses

Stéphane Robin, Alain Celisse, Alain Celisse, 2010 .

Joint species distributions reveal the combined effects of host plants, abiotic factors and species competition as drivers of species abundances in fruit flies

J. Chiquet, S. Robin, E. Frago, 2020, bioRxiv.

Statistical Applications in Genetics and Molecular Biology ExactDAS : An Exact Test Procedure for the Detection of Differential Alternative Splicing in Microarray Experiments

S. Robin, F. Jaffrézic, T. Mary-Huard, 2012 .

Nonparametric species richness estimation under convexity constraint

S. Huet, S. Robin, C. Durot, 2014, 1404.4830.

A degree-based goodness-of-fit test for heterogeneous random graph models

P. Latouche, S. Robin, S. Ouadah, 2015 .

Estimation of a convex discrete distribution

S. Huet, S. Robin, C. Durot, 2012, 1202.6263.

Detection of Significant Genomic Alterations via Simultaneous Minimal Sojourns at a State by Independent Continuous-time Markov Chains

S. Robin, V. Stefanov, 2015 .

Properties of variational estimates of a mixture model for random graphs

Alain Celisse, J. Daudin, S. Gazal, 2010 .

Genomic Distribution of Short Motifs Involved In DNA Repair in Pathogenic and Non Pathogenic Escherichia coli

S. Schbath, S. Robin, C. Hennequet-Antier, 2003 .

Using deterministic approximations to accelerate SMC for posterior sampling

S. Donnet, S. Robin, 2017, 1707.07971.

Prior hypotheses or regularization allow inference of diversification histories from extant timetrees

F. Hartig, S. Robin, H. Morlon, 2020, bioRxiv.

Modelling overdispersion heterogeneity in differential expression analysis using mixtures

C. Viroli, F. Picard, S. Robin, 2014, 1410.8093.

MixThres : mixture models to define a hybridization threshold in DNA microarray experiments

M. Martin-Magniette, A. Lecharny, F. Picard, 2008 .

A robust approach to multiple change-point estimation in an AR(1) process

C. Lévy-Leduc, S. Robin, É. Lebarbier, 2014 .

Introduction to Statistical Methods for Microarray Data Analysis

F. Picard, S. Robin, T. Mary-Huard, 2022 .

Checking homogeneity of motifs' distribution in heterogenous sequences.

S. Robin, Sabrina Ledent, 2005 .

A robust model-based clustering based on the geometric median and the Median Covariation Matrix

S. Robin, Antoine Godichon-Baggioni, 2022, 2211.08131.

Bayesian Model Averaging of Stochastic Block Models to Estimate the Graphon Function and Motif Frequencies in a W-graph Model

P. Latouche, S. Robin, 2013 .

A leave-p-out based estimation of the proportion of null hypotheses

Alain Celisse, S. Robin, 2008, 0804.1189.

Detection of Significant Genomic Alterations via Simultaneous Minimal Sojourns at a State by Independent Continuous-time Markov Chains

S. Robin, V. Stefanov, 2013, Methodology and Computing in Applied Probability.

Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models

P. Latouche, S. Robin, Pierre Latouche, 2013, Statistics and computing.

Structured regularization for conditional Gaussian graphical models

J. Chiquet, S. Robin, T. Mary-Huard, 2016, Statistics and Computing.

Inference in finite state space non parametric Hidden Markov Models and applications

E. Gassiat, S. Robin, A. Cleynen, 2015, Statistics and Computing.

Spotting effect in microarray experiments

Jean-Jacques Daudin, Stéphane Robin, Tristan Mary-Huard, 2004, BMC Bioinformatics.

Assessing the Exceptionality of Network Motifs

Franck Picard, Jean-Jacques Daudin, Stéphane Robin, 2007, J. Comput. Biol..

Modeling heterogeneity in random graphs: a selective review

C. Matias, S. Robin, 2014 .

MODELING HETEROGENEITY IN RANDOM GRAPHS THROUGH LATENT SPACE MODELS: A SELECTIVE REVIEW

Catherine Matias, St'ephane Robin, C. Matias, 2014 .

A mixture model for random graphs

Franck Picard, Jean-Jacques Daudin, Stéphane Robin, 2008, Stat. Comput..

Nine quick tips for analyzing network data

Vincent Miele, Stéphane Robin, Catherine Matias, 2019, PLoS Comput. Biol..

Modelling the influence of dimerisation sequence dissimilarities on the auxin signalling network

Stéphane Robin, Jonathan Legrand, Jean-Benoist Léger, 2016, BMC Systems Biology.

Studying speciation and extinction dynamics from phylogenies: addressing identifiability issues.

F. Hartig, S. Robin, H. Morlon, 2022, Trends in ecology & evolution.

Querying multiple sets of P-values through composed hypothesis testing

Stéphane Robin, Tristan Mary-Huard, Indranil Mukhopadhyay, 2021, Bioinform..

Integrative epigenomic mapping defines four main chromatin states in Arabidopsis

Stéphane Robin, Vincent Colot, Chris Bowler, 2011, The EMBO journal.

Variational Inference for Coupled Hidden Markov Models Applied to the Joint Detection of Copy Number Variations

Xiaoqiang Wang, Stéphane Robin, Emilie Lebarbier, 2017, The international journal of biostatistics.

A statistical approach for array CGH data analysis

Franck Picard, Jean-Jacques Daudin, Stéphane Robin, 2005, BMC Bioinformatics.

Exact posterior distributions and model selection criteria for multiple change-point detection problems

Stéphane Robin, Emilie Lebarbier, Guillem Rigaill, 2012, Stat. Comput..

Extracting biological information from DNA arrays: an unexpected link between arginine and methionine metabolism in Bacillus subtilis

Jean-Jacques Daudin, Stéphane Robin, Antoine Danchin, 2001, Genome Biology.

Two-dimensional segmentation for analyzing Hi-C data

Céline Lévy-Leduc, Maud Delattre, Tristan Mary-Huard, 2014, Bioinform..

A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat

V. Allard, J. Enjalbert, S. Robin, 2019, Field Crops Research.

HOMER : a homogenization software - methods and applications

Peter Domonkos, Franck Picard, Stéphane Robin, 2013 .

Temporal patterns in Ixodes ricinus microbial communities: an insight into tick-borne microbe interactions

M. Mariadassou, J. Chiquet, S. Robin, 2020, bioRxiv.

Prediction of Euclidean distances with discrete and continuous outcomes

Stéphane Robin, Avner Bar-Hen, F. Mortier, 2006 .

Key Questions for Next-Generation Biomonitoring

Dominique Gravel, Alireza Tamaddoni-Nezhad, John Murphy, 2020, Frontiers in Environmental Science.

Statistical tests to compare motif count exceptionalities

Vincent Vandewalle, Stéphane Robin, Sophie Schbath, 2007, BMC Bioinformatics.

Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome

Stéphane Robin, Marie-Laure Martin-Magniette, Sébastien Aubourg, 2011, Statistical applications in genetics and molecular biology.

Comparing Segmentation Methods for Genome Annotation Based on RNA-Seq Data

Stéphane Robin, Sandrine Dudoit, Alice Cleynen, 2014 .

Joint segmentation, calling, and normalization of multiple CGH profiles.

Stéphane Robin, Mark Hoebeke, Emilie Lebarbier, 2011, Biostatistics.

A statistical approach for CGH microarray data analysis

Gilles Celeux, Franck Picard, Jean-Jacques Daudin, 2004 .

DETECTION OF ADAPTIVE SHIFTS ON PHYLOGENIES USING SHIFTED STOCHASTIC PROCESSES ON A TREE

Paul Bastide, Mahendra Mariadassou, St'ephane Robin, 2015, bioRxiv.

Uncovering latent structure in valued graphs: A variational approach

St'ephane Robin, Mahendra Mariadassou, Corinne Vacher, 2010, 1011.1813.

Structured regularization for conditional Gaussian graphical models

Tristan Mary-Huard, Stéphane Robin, Julien Chiquet, 2014, Statistics and Computing.

Numerical Comparison of Several Approximations of the Word Count Distribution in Random Sequences

Stéphane Robin, Sophie Schbath, S. Schbath, 2002, J. Comput. Biol..

Deciphering the connectivity structure of biological networks using MixNet

Franck Picard, Vincent Miele, Jean-Jacques Daudin, 2009, BMC Bioinformatics.

Network impact on persistence in a finite population dynamic diffusion model: application to an emergent seed exchange network.

Mathieu Thomas, Stéphane Robin, Pierre Barbillon, 2014, Journal of theoretical biology.

Waiting times for clumps of patterns and for structured motifs in random sequences

Stéphane Robin, Sophie Schbath, Valery T. Stefanov, 2007, Discret. Appl. Math..

Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

Stéphane Robin, Grégory Nuel, Alain Celisse, 2009, BMC Bioinformatics.

Determination of the differentially expressed genes in microarray experiments using local FDR

Jean-Jacques Daudin, Stéphane Robin, Avner Bar-Hen, 2004, BMC Bioinformatics.

The MatP/matS Site-Specific System Organizes the Terminus Region of the E. coli Chromosome into a Macrodomain

Stéphane Robin, Sophie Schbath, Meriem El Karoui, 2008, Cell.

Mixture-based estimation of entropy

S. Robin, L. Scrucca, 2020, Comput. Stat. Data Anal..

Exact Bayesian inference for off-line change-point detection in tree-structured graphical models

S. Robin, Loïc Schwaller, S. Robin, 2016, Stat. Comput..

Accounting for missing actors in interaction network inference from abundance data

Christophe Ambroise, Raphaelle Momal, St'ephane Robin, 2020, Journal of the Royal Statistical Society: Series C (Applied Statistics).

The Poisson-lognormal model as a versatile framework for the joint analysis of species abundances

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2020, bioRxiv.

Tree‐based inference of species interaction networks from abundance data

S. Robin, C. Ambroise, R. Momal, 2019, Methods in Ecology and Evolution.

Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data

Stéphane Robin, Emilie Lebarbier, Michel Koskas, 2012, Algorithms for Molecular Biology.

Transcriptional landscape estimation from tiling array data using a model of signal shift and drift

Stéphane Robin, Pierre Nicolas, Aurélie Leduc, 2009, Bioinform..

Uncovering structure in biological networks

J. Daudin, M. Sagot, F. Picard, 2006 .

Inference in finite state space non parametric Hidden Markov Models and applications

Stéphane Robin, Elisabeth Gassiat, Alice Cleynen, 2016, Stat. Comput..

A semi-parametric approach for mixture models: Application to local false discovery rate estimation

Jean-Jacques Daudin, Stéphane Robin, Laurent Pierre, 2007, Computational Statistics & Data Analysis.

VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data

Jean-Jacques Daudin, Stéphane Robin, Paul Delmar, 2005, Bioinform..

Mixture model on the variance for the differential analysis of gene expression data

Jean-Jacques Daudin, Stéphane Robin, Paul Delmar, 2005 .

Occurrence of structured motifs in random sequences: Arbitrary number of boxes

Stéphane Robin, Sophie Schbath, Valery T. Stefanov, 2011, Discret. Appl. Math..

Incomplete graphical model inference via latent tree aggregation

Christophe Ambroise, St'ephane Robin, Genevieve Robin, 2017, Statistical Modelling.

Individual Signature in Canary Songs: Contribution of Multiple Levels of Song Structure

Stéphane Robin, Thierry Aubin, Katia Lehongre, 2008 .

Comparison of Semiparametric Regression Models for Correlated Survival Data Using Simulations

S. Robin, T. Lorino, M. Sanaa, 2004 .

False Discovery Rate (FDR)

Jean-Jacques Daudin, Avner Bar-Hen, Philippe Broët, 2010 .

Comparing change-point location in independent series

Stéphane Robin, Alice Cleynen, S. Robin, 2016, Stat. Comput..

Checking homogeneity of motifs' distribution in heterogenous sequences

Stéphane Robin, Sabrina Ledent, S. Robin, 2004, RECOMB.

How can pattern statistics be useful for DNA motif discovery

Stéphane Robin, Sophie Schbath, S. Schbath, 2009 .

Nonparametric density estimation by exact leave-p-out cross-validation

Stéphane Robin, Alain Celisse, Alain Celisse, 2008, Comput. Stat. Data Anal..

Hidden Markov Models with mixtures as emission distributions

Stéphane Robin, Caroline Bérard, Marie-Laure Martin-Magniette, 2012, Statistics and Computing.

ChIPmix: mixture model of regressions for two-color ChIP-chip analysis

Tristan Mary-Huard, Stéphane Robin, Marie-Laure Martin-Magniette, 2008, ECCB.

Exact and approximate inference in graphical models: variable elimination and beyond pdf

Simon de Givry, Thomas Schiex, Stéphane Robin, 2015, ArXiv.

DNA, words and models

Stéphane Robin, Sophie Schbath, François Rodolphe, 2005 .

Finite state space non parametric Hidden Markov Models are in general identifiable

Elisabeth Gassiat, Alice Cleynen, St'ephane Robin, 2013, 1306.4657.

Goodness of Fit of Logistic Regression Models for Random Graphs

P. Latouche, S. Robin, S. Ouadah, 2015, 1508.00286.

Motif-based tests for bipartite networks

Pierre Latouche, Sarah Ouadah, St'ephane Robin, 2021, 2101.11381.

Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models

Stéphane Robin, Pierre Latouche, P. Latouche, 2013, Statistics and Computing.

NeMo: Fast Count of Network Motifs

Stéphane Robin, Etienne Birmelé, Michel Koskas, 2011 .

Network motifs : mean and variance for the count

Stéphane Robin, Etienne Birmelé, Sophie Schbath, 2006 .

Integrative epigenomic mapping defines four main chromatin states in Arabidopsis

M. Martin-Magniette, Ikhlak Ahmed, S. Aubourg, 2011, The EMBO Journal.

Occurrence Probability of Structured Motifs in Random Sequences

Jean-Jacques Daudin, Stéphane Robin, Marie-France Sagot, 2002, J. Comput. Biol..

SegCorr a statistical procedure for the detection of genomic regions of correlated expression

Stéphane Robin, Tristan Mary-Huard, Emilie Lebarbier, 2015, BMC Bioinformatics.

Variational Inference for sparse network reconstruction from count data

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2018, ICML.

Exact distribution of word occurrences in a random sequence of letters

Jean-Jacques Daudin, Stéphane Robin, J. Daudin, 1999, Journal of Applied Probability.

Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates

Stéphane Robin, Sophie Donnet, S. Donnet, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Introduction to Statistical Methods for Complex Systems

Tristan Mary-Huard, Stéphane Robin, S. Robin, 2011 .

Epidemiologic network inference

Stéphane Robin, Pierre Barbillon, Andrew Flachs, 2020, Stat. Comput..

Epidemiologic network inference

P. Barbillon, G. Stone, S. Robin, 2019, Statistics and Computing.

Back to the Local Score in the Logarithmic Case: A Direct and Simple Proof

J. Daudin, S. Robin, Sabine Mercier, 2002 .

Correction: Determination of the differentially expressed genes in microarray experiments using local FDR

J. Daudin, Avner Bar-Hen, S. Robin, 2005, BMC Bioinformatics.

Goodness of fit of logistic models for random graphs

P. Latouche, S. Robin, S. Ouadah, 2015 .

Modeling overdispersion heterogeneity in differential expression analysis using mixtures

C. Viroli, F. Picard, S. Robin, 2016, Biometrics.

Integrative epigenomic mapping defines four main chromatin states in Arabidopsis

M. Martin-Magniette, Ikhlak Ahmed, S. Aubourg, 2011, The EMBO journal.

Hoeffding-type decomposition for $U$-statistics on bipartite networks

S. Donnet, S. Robin, Franccois Massol, 2023, 2308.14518.

Motif-based tests for bipartite networks

P. Latouche, S. Robin, S. Ouadah, 2021, Electronic Journal of Statistics.

Joint segmentation, calling, and normalization of multiple CGH profiles.

M. Hoebeke, F. Picard, S. Robin, 2011, Biostatistics.

Tailored Aggregation for Classification

Tristan Mary-Huard, Stéphane Robin, S. Robin, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A factor model approach for the joint segmentation with between‐series correlation

Xavier Collilieux, Emilie Lebarbier, St'ephane Robin, 2015, Scandinavian Journal of Statistics.

Modeling heterogeneity in random graphs through latent space models: a selective review

C. Matias, S. Robin, 2014, 1402.4296.

Simultaneous Occurrences of Runs in Independent Markov Chains

Stéphane Robin, Valeri T. Stefanov, S. Robin, 2009 .

Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency

Stéphane Robin, Marie-Laure Martin-Magniette, Stevenn Volant, 2011, Comput. Stat. Data Anal..

Mixture model on the variance for the differential analysis of gene expression data

J. Daudin, S. Robin, P. Delmar, 2005 .

Bayesian inference for network Poisson models

Sophie Donnet, St'ephane Robin, S. Donnet, 2019, 1907.09771.

Goodness of Fit of Logistic Regression Models for Random Graphs

S. Robin, S. Ouadah, Pierre Latouche, 2015, 1508.00286.

A robust approach for estimating change-points in the mean of an AR(1) process

S. Robin, É. Lebarbier, C. L'evy-Leduc, 2014 .

Tree-based Reconstruction of Ecological Network from Abundance Data

S. Robin, C. Ambroise, Raphaelle Momal, 2019 .