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ORCIDStéphane Robin
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2020 – today
- 2024
[j43]Antoine Godichon-Baggioni, Stéphane Robin:
A robust model-based clustering based on the geometric median and the median covariation matrix. Stat. Comput. 34(1): 55 (2024)- 2023
- [j42]Stéphane Robin
, Luca Scrucca:
Mixture-based estimation of entropy. Comput. Stat. Data Anal. 177: 107582 (2023) - 2021
- [j41]Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay, Stéphane Robin:
Querying multiple sets of P-values through composed hypothesis testing. Bioinform. 38(1): 141-148 (2021) - 2020
- [j40]Gaëtan Benoit, Mahendra Mariadassou, Stéphane Robin, Sophie Schbath, Pierre Peterlongo, Claire Lemaitre:
SimkaMin: fast and resource frugal de novo comparative metagenomics. Bioinform. 36(4): 1275-1276 (2020) - [j39]Pierre Barbillon, Loïc Schwaller, Stéphane Robin, Andrew Flachs, Glenn Stone:
Epidemiologic network inference. Stat. Comput. 30(1): 61-75 (2020)
2010 – 2019
- 2019
- [j38]Vincent Miele, Catherine Matias, Stéphane Robin, Stéphane Dray:
Nine quick tips for analyzing network data. PLoS Comput. Biol. 15(12) (2019) - [c4]Julien Chiquet, Stéphane Robin, Mahendra Mariadassou:
Variational Inference for sparse network reconstruction from count data. ICML 2019: 1162-1171 - [i3]Vincent Miele, Catherine Matias, Stéphane Robin, Stéphane Dray:
Nine Quick Tips for Analyzing Network Data. CoRR abs/1904.05334 (2019) - 2018
- [j37]Yan Chen, Ming Jiang, Onur Kesten, Stéphane Robin, Min Zhu:
Matching in the large: An experimental study. Games Econ. Behav. 110: 295-317 (2018) - 2017
- [j36]Eleni Ioanna Delatola, Emilie Lebarbier, Tristan Mary-Huard, François Radvanyi, Stéphane Robin, Jennifer Wong:
SegCorr a statistical procedure for the detection of genomic regions of correlated expression. BMC Bioinform. 18(1): 333 (2017) - [j35]Julien Chiquet, Tristan Mary-Huard, Stéphane Robin:
Structured regularization for conditional Gaussian graphical models. Stat. Comput. 27(3): 789-804 (2017) - [j34]Loïc Schwaller, Stéphane Robin:
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models. Stat. Comput. 27(5): 1331-1345 (2017) - 2016
- [j33]Jonathan Legrand, Jean-Benoist Léger, Stéphane Robin, Teva Vernoux, Yann Guédon:
Modelling the influence of dimerisation sequence dissimilarities on the auxin signalling network. BMC Syst. Biol. 10: 22 (2016) - [j32]Elisabeth Gassiat, Alice Cleynen, Stéphane Robin:
Inference in finite state space non parametric Hidden Markov Models and applications. Stat. Comput. 26(1-2): 61-71 (2016) - [j31]Alice Cleynen, Stéphane Robin:
Comparing change-point location in independent series. Stat. Comput. 26(1-2): 263-276 (2016) - [j30]Pierre Latouche, Stéphane Robin:
Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models. Stat. Comput. 26(6): 1173-1185 (2016) - 2015
- [j29]Loïc Schwaller, Stéphane Robin:
Apprentissage de réseaux par agrégation bayésienne d'arbres couvrants. Rev. d'Intelligence Artif. 29(2): 153-172 (2015) - [i2]Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes:
Exact and approximate inference in graphical models: variable elimination and beyond. CoRR abs/1506.08544 (2015) - 2014
- [j28]Alice Cleynen, Michel Koskas, Emilie Lebarbier, Guillem Rigaill, Stéphane Robin:
Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data. Algorithms Mol. Biol. 9: 6 (2014) - [j27]Céline Lévy-Leduc, Maud Delattre, Tristan Mary-Huard, Stéphane Robin:
Two-dimensional segmentation for analyzing Hi-C data. Bioinform. 30(17): 386-392 (2014) - [j26]Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette, Stéphane Robin:
Hidden Markov Models with mixtures as emission distributions. Stat. Comput. 24(4): 493-504 (2014) - 2013
- [j25]Cécile Durot, Sylvie Huet, François Koladjo, Stéphane Robin:
Least-squares estimation of a convex discrete distribution. Comput. Stat. Data Anal. 67: 282-298 (2013) - 2012
- [j24]Stevenn Volant, Marie-Laure Martin-Magniette, Stéphane Robin:
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency. Comput. Stat. Data Anal. 56(8): 2375-2387 (2012) - [j23]Guillem Rigaill, Emilie Lebarbier, Stéphane Robin:
Exact posterior distributions and model selection criteria for multiple change-point detection problems. Stat. Comput. 22(4): 917-929 (2012) - [i1]Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette, Stéphane Robin:
Hidden Markov Models with mixtures as emission distributions. CoRR abs/1206.5102 (2012) - 2011
- [j22]Franck Picard, Emilie Lebarbier, E. Budinskà, Stéphane Robin:
Joint segmentation of multivariate Gaussian processes using mixed linear models. Comput. Stat. Data Anal. 55(2): 1160-1170 (2011) - [j21]Valery T. Stefanov, Stéphane Robin, Sophie Schbath:
Occurrence of structured motifs in random sequences: Arbitrary number of boxes. Discret. Appl. Math. 159(8): 826-831 (2011) - 2010
- [c3]Guillem Rigaill, Emilie Lebarbier, Stéphane Robin:
Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems. COMPSTAT 2010: 557-564
2000 – 2009
- 2009
- [j20]Pierre Nicolas, Aurélie Leduc, Stéphane Robin, Simon Rasmussen, Hanne Jarmer, Philippe Bessières:
Transcriptional landscape estimation from tiling array data using a model of signal shift and drift. Bioinform. 25(18): 2341-2347 (2009) - [j19]Mickaël Guedj, Stéphane Robin, Alain Celisse, Grégory Nuel:
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation. BMC Bioinform. 10 (2009) - [j18]Franck Picard, Vincent Miele, Jean-Jacques Daudin, Ludovic Cottret, Stéphane Robin:
Deciphering the connectivity structure of biological networks using MixNet. BMC Bioinform. 10(S-6) (2009) - [j17]Caroline Bérard, Marie-Laure Martin-Magniette, Alexandra To, François Roudier, Vincent Colot, Stéphane Robin:
Mélanges gaussiens bidimensionnels pour la comparaison de deux échantillons de chromatine immunoprécipitée. Monde des Util. Anal. Données 40: 53-68 (2009) - [j16]Tristan Mary-Huard, Stéphane Robin:
Tailored Aggregation for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2098-2105 (2009) - 2008
- [j15]Alain Celisse, Stéphane Robin:
Nonparametric density estimation by exact leave-p-out cross-validation. Comput. Stat. Data Anal. 52(5): 2350-2368 (2008) - [j14]Franck Picard, Jean-Jacques Daudin, Michel Koskas, Sophie Schbath, Stéphane Robin:
Assessing the Exceptionality of Network Motifs. J. Comput. Biol. 15(1): 1-20 (2008) - [j13]Chia-Lin Chang, Stéphane Robin:
Public policy, innovation and total factor productivity: An application to Taiwan's manufacturing industry. Math. Comput. Simul. 79(3): 352-367 (2008) - [j12]Jean-Jacques Daudin, Franck Picard, Stéphane Robin:
A mixture model for random graphs. Stat. Comput. 18(2): 173-183 (2008) - [c2]Marie-Laure Martin-Magniette, Tristan Mary-Huard, Caroline Bérard, Stéphane Robin:
ChIPmix: mixture model of regressions for two-color ChIP-chip analysis. ECCB 2008: 181-186 - 2007
- [j11]Stéphane Robin, Sophie Schbath, Vincent Vandewalle:
Statistical tests to compare motif count exceptionalities. BMC Bioinform. 8 (2007) - [j10]Stéphane Robin, Avner Bar-Hen, Jean-Jacques Daudin, Laurent Pierre:
A semi-parametric approach for mixture models: Application to local false discovery rate estimation. Comput. Stat. Data Anal. 51(12): 5483-5493 (2007) - [j9]Valery T. Stefanov, Stéphane Robin, Sophie Schbath:
Waiting times for clumps of patterns and for structured motifs in random sequences. Discret. Appl. Math. 155(6-7): 868-880 (2007) - 2005
- [j8]Paul Delmar, Stéphane Robin, Jean-Jacques Daudin:
VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data. Bioinform. 21(4): 502-508 (2005) - [j7]Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Jean-Jacques Daudin:
A statistical approach for array CGH data analysis. BMC Bioinform. 6: 27 (2005) - [j6]Julie Aubert, Avner Bar-Hen, Jean-Jacques Daudin, Stéphane Robin:
Correction: Determination of the differentially expressed genes in microarray experiments using local FDR. BMC Bioinform. 6: 42 (2005) - [j5]Christelle Hennequet-Antier, Hélène Chiapello, Karine Piot, Séverine A. Degrelle, Isabelle Hue, Jean-Paul Renard, François Rodolphe, Stéphane Robin:
AnovArray: a set of SAS macros for the analysis of variance of gene expression data. BMC Bioinform. 6: 150 (2005) - 2004
- [j4]Tristan Mary-Huard, Jean-Jacques Daudin, Stéphane Robin, Frédérique Bitton, Eric Cabannes, Pierre Hilson:
Spotting effect in microarray experiments. BMC Bioinform. 5: 63 (2004) - [j3]Julie Aubert, Avner Bar-Hen, Jean-Jacques Daudin, Stéphane Robin:
Determination of the differentially expressed genes in microarray experiments using local FDR. BMC Bioinform. 5: 125 (2004) - [c1]Sabrina Ledent, Stéphane Robin:
Checking homogeneity of motifs' distribution in heterogenous sequences. RECOMB 2004: 107-114 - 2002
- [j2]Stéphane Robin, Sophie Schbath:
Numerical Comparison of Several Approximations of the Word Count Distribution in Random Sequences. J. Comput. Biol. 8(4): 349-359 (2002) - [j1]Stéphane Robin, Jean-Jacques Daudin, Hugues Richard, Marie-France Sagot, Sophie Schbath:
Occurrence Probability of Structured Motifs in Random Sequences. J. Comput. Biol. 9(6): 761-773 (2002)
Coauthor Index
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