Nombre de documents

143

Stéphane Robin


Article dans une revue92 documents

  • Souhil Chakar, Émilie Lebarbier, Céline Levy Leduc, Stephane Robin. A robust approach for estimating change-points in the mean of an AR(1) process. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (2), pp.1408-1447. 〈10.3150/15-BEJ782〉. 〈hal-01530852〉
  • Loic Schwaller, Stephane Robin. Exact Bayesian inference for off-line change-point detection in tree-structured graphical models. Statistics and Computing, Springer Verlag (Germany), 2017, 27 (5), pp.1331-1345. 〈10.1007/s11222-016-9689-3〉. 〈hal-01555266〉
  • Eleni-Ioanna Delatola, Émilie Lebarbier, Tristan Mary, François Radvanyi, Stephane Robin, et al.. SegCorr : a statistical procedure for the detection of correlated genomic regions. BMC Bioinformatics, BioMed Central, 2017, 18, 〈10.1186/s12859-017-1742-5〉. 〈hal-01588605〉
  • Paul Bastide, Mahendra Mariadassou, Stephane Robin. Detection of adaptive shifts on phylogenies by using shifted stochastic processes on a tree. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2017. 〈hal-01551071〉
  • Pierre Latouche, Stephane Robin, Sarah Ouadah. Goodness of fit of logistic regression models for random graphs. Journal of Computational and Graphical Statistics, Taylor & Francis, 2017, 〈10.1080/10618600.2017.1349663〉. 〈hal-01583801〉
  • Julien Chiquet, Tristan Mary, Stephane Robin. Structured regularization for conditional Gaussian graphical models. Statistics and Computing, Springer Verlag (Germany), 2016, pp.1-16. 〈10.1007/s11222-016-9654-1〉. 〈hal-01531660〉
  • Alice Cleynen, Stephane Robin. Comparing change-point location in independent series. Statistics and Computing, Springer Verlag (Germany), 2016, pp.1-14. 〈10.1007/s11222-014-9492-y〉. 〈hal-01208118〉
  • Pierre Latouche, Stephane Robin. Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models. Statistics and Computing, Springer Verlag (Germany), 2016, 26 (6), pp.1173 - 1185. 〈http://dx.doi.org/10.1007/s11222-015-9607-0〉. 〈10.1007/s11222-015-9607-0〉. 〈hal-01519750〉
  • Jonathan Legrand, Jean-Benoist Leger, Stephane Robin, Teva Vernoux, Yann Guédon. Modelling the influence of dimerisation sequence dissimilarities on the auxin signalling network. BMC Systems Biology, BioMed Central, 2016, 10 (22), pp.17. 〈10.1186/s12918-016-0254-7〉. 〈hal-01361020〉
  • Celine Levy Leduc, Stephane Robin. Les nouveaux défis de la biologie moléculaire. Symbiose (Magazine d'Agroparistech Alumni), 2015, 12. 〈hal-01537747〉
  • E. Gassiat, Alice Cleynen, Stephane Robin. Inference in finite state space non parametric hidden markov models and applications. Statistics and Computing, Springer Verlag (Germany), 2015, 〈10.1007/s11222-014-9523-8〉. 〈hal-01208116〉
  • Pierre Barbillon, Mathieu Thomas, Isabelle Goldringer, Frédéric Hospital, Stéphane Robin. Network impact on persistence in a finite population dynamic diffusion model: Application to an emergent seed exchange network. Journal of Theoretical Biology, Elsevier, 2015, 365, pp.365-376. 〈10.1016/j.jtbi.2014.10.032〉. 〈hal-01194122〉
  • Stephane Robin, Loic Schwaller. Apprentissage de réseaux par agrégation bayésienne d’arbres couvrants. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2015, 2, pp.153-172. 〈10.3166/RIA.29.153-172〉. 〈hal-01219568〉
  • Cécile Durot, Sylvie Huet, François Koladjo, Stéphane Robin. Nonparametric species richness estimation under convexity constraint. Environmetrics, Wiley, 2015, 〈10.1002/env.2352〉. 〈hal-01250079〉
  • Alice Cleynen, Michel Koskas, Émilie Lebarbier, Guillem Rigaill, Stephane Robin. Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data. Algorithms for Molecular Biology, BioMed Central, 2014, 9, 〈10.1186/1748-7188-9-6〉. 〈hal-01197619〉
  • Alice Cleynen, Sandrine Dudoit, Stephane Robin. Comparing segmentation methods for genome annotation based on RNA-Seq data. Journal of Agricultural, Biological, and Environmental Statistics, Springer Verlag, 2014, 19 (1), pp.101-118. 〈10.1007/s13253-013-0159-5〉. 〈hal-01197620〉
  • Catherine Matias, Stéphane Robin. Modeling heterogeneity in random graphs through latent space models: a selective review. ESAIM: Proceedings, EDP Sciences, 2014, MMCS, Mathematical Modelling of Complex Systems, 47, pp.55 - 74. 〈http://www.esaim-proc.org/articles/proc/abs/2014/04/proc144704/proc144704.html〉. 〈hal-00948421v2〉
  • Stavenn Volant, Caroline Berard, Marie-Laure Magniette, Stephane Robin. Hidden Markov Models with mixtures as emission distributions. Statistics and Computing, Springer Verlag (Germany), 2013, n.p. 〈10.1007/s11222-013-9383-7〉. 〈hal-01000044〉
  • Stephane Robin, Valeri T. Stefanov. Detection of significant genomic alterations via simultaneous minimal sojourns at a state by independent continuous-time markov chains. Methodology and Computing in Applied Probability, Springer Verlag, 2013, 17 (2), pp.479-487. 〈10.1007/s11009-013-9374-3〉. 〈hal-01219584〉
  • Anne Vincent-Salomon, Vanessa Benhamo, Eleonore Gravier, Guillem Rigaill, Nadège Gruel, et al.. Genomic instability : a stronger prognostic marker than proliferation for early stage luminal breast carcinomas. PLoS ONE, Public Library of Science, 2013, 8 (10), 〈10.1371/journal.pone.0076496〉. 〈hal-01219550〉
  • Olivier Mestre, Peter Domonkos, Franck Picard, Ingeborg Auer, Stephane Robin, et al.. HOMER : a homogenization software - methods and applications. IDOJARAS, 2013, 117 (1), pp.47 - 67. 〈hal-01190665〉
  • Cécile Durot, Sylvie Huet, François Koladjo, Stephane Robin. Least-squares estimation of a convex discrete distribution. Computational Statistics and Data Analysis, Elsevier, 2013, 67, pp.282-298. 〈10.1016/j.csda.2013.04.019〉. 〈hal-01019893〉
  • Tristan Mary-Huard, Florence Jaffrézic, Stephane Robin. ExactDAS: an exact test procedure for the detection of differential alternative splicing in microarray experiments. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2012, 11, online (5), Non paginé. 〈10.1515/1544-6115.1814〉. 〈hal-01000045〉
  • Sébastien Li-Thiao-Te, Jean-Jacques Daudin, Stephane Robin. Bayesian model averaging for estimating the number of classes: applications to the total number of species in metagenomics. Journal of Applied Statistics, Taylor & Francis (Routledge), 2012, 39 (7), pp.1489-1504. 〈10.1080/02664763.2012.658358〉. 〈hal-01019870〉
  • Antoine Channarond, Jean-Jacques Daudin, Stephane Robin. Classification and estimation in the Stochastic Blockmodel based on the empirical degrees. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2012, 6, pp.2574-2601. 〈10.1214/12-EJS753 (1)〉. 〈hal-01190224〉
  • Guillem Rigaill, Émilie Lebarbier, Stephane Robin. Exact posterior distributions and model selection criteria for multiple change-point detection problems. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (4), pp.917-929. 〈10.1007/s11222-011-9258-8〉. 〈hal-01000030〉
  • Stavenn Volant, Marie-Laure Martin-Magniette, Stephane Robin. Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency. Computational Statistics and Data Analysis, Elsevier, 2012, 56 (8), pp.2375-2387. 〈10.1016/j.csda.2012.01.027〉. 〈hal-01000046〉
  • Steven Gazal, Jean-Jacques Daudin, Stephane Robin. Accuracy of variational estimates for random graph mixture models. Journal of Statistical Computation and Simulation, Taylor & Francis, 2012, 82 (6), pp.849-862. 〈http://www.tandfonline.com/doi/abs/10.1080/00949655.2011.560117〉. 〈10.1080/00949655.2011.560117〉. 〈hal-01000025〉
  • Valeri T. Stefanov, Stephane Robin, Sophie Schbath. Occurrence of structured motifs in random sequences: Arbitrary number of boxes. Discrete Applied Mathematics, Elsevier, 2011, 159 (8), pp.826-831. 〈10.1016/j.dam.2010.12.023〉. 〈hal-01001273〉
  • Franck Picard, Émilie Lebarbier, Mark Hoebeke, Guillem Rigaill, Baba Thiam, et al.. Joint segmentation, calling, and normalization of multiple CGH profiles. Biostatistics, Oxford University Press (OUP), 2011, 12 (3), pp.413-428. 〈10.1093/biostatistics/kxq076〉. 〈hal-01019859〉
  • Caroline Berard, Marie-Laure Magniette, Veronique Brunaud, Sebastien Aubourg, Stephane Robin. Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2011, 10 (1), 〈10.2202/1544-6115.1692 〉. 〈hal-01190201〉
  • Franck Picard, Émilie Lebarbier, E. Budinska, Stephane Robin. Joint segmentation of multivariate Gaussian processes using mixed linear models. Computational Statistics and Data Analysis, Elsevier, 2011, 55 (2), pp.1160 - 1170. 〈10.1016/j.csda.2010.09.015〉. 〈hal-01001452〉
  • Roudier F, Ahmed I, Bérard C, Saeazin A, Mary-Huard T, et al.. Integrative epigenomic mapping defines four main chromatin states in Arabidopsis. EMBO Journal, EMBO Press, 2011, 30, pp.1928-1938. 〈hal-00600366〉
  • François Roudier, Ikhlak Ahmed, Alexis Sarazin, Caroline Berard, Tristan Mary-Huard, et al.. Integrative epigenomic mapping defines four main chromatin states in Arabidopsis. EMBO Journal, EMBO Press, 2011, 30 (10), pp.1928 - 1938. 〈10.1038/emboj.2011.103〉. 〈hal-00999846〉
  • Mahendra Mariadassou, Stephane Robin, Corinne Vacher. Uncovering latent structure in valued graphs: a variational approach. Annals of Applied Statistics, 2010, 4 (2), pp.715-742. 〈10.1214/10-AOAS361〉. 〈hal-01197514〉
  • Franck Picard, E. Lebarbier, E. Budinska, S. Robin. Joint segmentation of multivariate Gaussian processes using mixed linear models. Computational Statistics and Data Analysis, Elsevier, 2010, 55, pp.1160-1170. 〈hal-00539256〉
  • Alain Célisse, Stephane Robin. A cross-validation based estimation of the proportion of true null hypotheses. Journal of Statistical Planning and Inference, Elsevier, 2010, 140 (11), pp.3132-3147. 〈10.1016/j.jspi.2010.04.014〉. 〈hal-01197599〉
  • Caroline Berard, Marie-Laure Martin-Magniette, Alexandra To, François Roudier, Vincent Colot, et al.. Mélanges gaussiens bidimensionnels pour la comparaison de deux échantillons de chromatine immunoprécipitée. Revue Modulad, 2009, pp.53-68. 〈hal-01197565〉
  • Pierre Nicolas, Aurelie Leduc, Stephane Robin, Simon Rasmussen, Hanne Jarmer, et al.. Transcriptional landscape estimation from tiling array data using a model of signal shift and drift. Bioinformatics, Oxford University Press (OUP), 2009, 25 (18), pp.2341-2347. 〈10.1093/bioinformatics/btp395〉. 〈hal-01197505〉
  • Tristan Mary-Huard, Stephane Robin. Tailored Aggregation for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2009, 31 (11), pp.2098-2105. 〈10.1109/TPAMI.2009.55〉. 〈hal-01197577〉
  • Stephane Robin, V.T. Stefanov. Simultaneous occurrences of runs in independent markov chains. Methodology and Computing in Applied Probability, Springer Verlag, 2009, 11 (2), pp.267-275. 〈10.1007/s11009-008-9093-3 〉. 〈hal-01197597〉
  • Mickaël Guedj, Stephane Robin, Alain Célisse, Grégory Nuel. Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation. BMC Bioinformatics, BioMed Central, 2009, 10, pp.1-12. 〈10.1186/1471-2105-10-84〉. 〈hal-01197596〉
  • Gregory Nuel, Alain Celisse, Mickaël Guedj, Stéphane Robin. A semi-parametric kernel-based approach to local False Discovery Rate estimations. BMC Bioinformatics, BioMed Central, 2009, 10, pp.84. 〈hal-00271321〉
  • Franck Picard, V. Miele, L. Cottret, J.J. Daudin, S. Robin. Deciphering the connectivity structure of biological networks using MixNet. BMC Bioinformatics, BioMed Central, 2009, in press, pp.1-1. 〈hal-00391483〉
  • M. Guedj, S. Robin, A. Celisse, Gregory Nuel. Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation. BMC Bioinformatics, BioMed Central, 2009, 10, pp.84. 〈hal-00539551〉
  • Felicie Faucon, Emmanuelle Rebours, Claudia Bevilacqua, Jean-Christophe Helbling, Julie Aubert, et al.. Terminal differentiation of goat mammary tissue during pregnancy requires the expression of genes involved in immune functions. Physiological Genomics, American Physiological Society, 2009, 40 (1), pp.61-82. 〈10. 1152/ physiolgenomics. 00032. 2009〉. 〈hal-01193417〉
  • Franck Picard, V. Miele, J.J. Daudin, L. Cottret, S. Robin. Deciphering the connectivity structure of biological networks using MixNet. BMC Bioinformatics, BioMed Central, 2009, 10, pp.1-11. 〈hal-00428390〉
  • Franck Picard, Jean-Jacques Daudin, Michel Koskas, Sophie Schbath, Stephane Robin. Assessing the exceptionality of network motifs. Journal of Computational Biology, Mary Ann Liebert, 2008, 15 (1), pp.1-20. 〈10.1089/cmb.2007.0137〉. 〈hal-01197499〉
  • Franck Picard, J.-J. Daudin, M. Koskas, S. Schbath, S. Robin. Assessing the exceptionality of network motifs. Journal of Computational Biology, Mary Ann Liebert, 2008, 15, pp.1-20. 〈hal-00428157〉
  • Romain Mercier, Marie Agnes Petit, Sophie Schbath, Stephane Robin, Meriem El Karoui, et al.. The MatP/matS site-specific system organizes the terminus region of the E. coli chromosome into a macrodomain. Cell, Elsevier, 2008, 135 (3), pp.475-485. 〈10.1016/j.cell.2008.08.031 〉. 〈hal-01197588〉
  • Marie-Laure Magniette, Tristan Mary-Huard, Caroline Berard, Stephane Robin. ChIPmix: mixture model of regressions for two-color ChIP-chip analysis. Bioinformatics (Oxford, England), 2008, 24 (16), pp.i181-i186. 〈10.1093/bioinformatics/btn280〉. 〈hal-01197653〉
  • J.-J. Daudin, Franck Picard, S. Robin. A mixture model for random graphs. Statistics and Computing, Springer Verlag (Germany), 2008, 18, pp.173-183. 〈hal-00428180〉
  • Jean-Jacques Daudin, Franck Picard, Stephane Robin. A mixture model for random graphs. Statistics and Computing, Springer Verlag (Germany), 2008, 18 (2), pp.173-183. 〈10.1007/s11222-007-9046-7〉. 〈hal-01197587〉
  • Alain Célisse, Stephane Robin. Nonparametric density estimation by exact leave-p-out cross-validation. Computational Statistics and Data Analysis, Elsevier, 2008, 52 (5), pp.2250-2368. 〈10.1016/j.csda.2007.10.002 〉. 〈hal-01197590〉
  • K. Lehongre, T. Aubin, S. Robin, C. Del Negro. Individual signature in canary songs: contribution of multiple levels of song structure.. Ethology, 2008, pp.114 : 425-435. 〈hal-00320589〉
  • Katia Lehongre, Thierry Aubin, Stephane Robin, Catherine Del Negro. Individual signature in canary songs: contribution of multiple levels of song structure. Ethology, Wiley, 2008, 114 (5), pp.425-435. 〈10.1111/j.1439-0310.2008.01486.x 〉. 〈hal-01197589〉
  • Laurence Flori, Claire Rogel-Gaillard, Marielle Cochet, Gaetan Lemonnier, Karine Hugot, et al.. Transcriptomic analysis of the dialogue between Pseudorabies virus and porcine epithelial cells during infection.. BMC Genomics, BioMed Central, 2008, 9, pp.123. 〈10.1186/1471-2164-9-123〉. 〈cea-00307390〉
  • Séverine A Degrelle, Christelle Hennequet-Antier, Hélène Chiapello, Karine Piot-Kaminski, Francois Piumi, et al.. Amplification biases: possible differences among deviating gene expressions.. BMC Genomics, BioMed Central, 2008, 9, pp.46. 〈10.1186/1471-2164-9-46〉. 〈cea-00307623〉
  • V.T. Stefanov, Stephane Robin, Sophie Schbath. Waiting times for clumps of patterns and for structured motifs in random sequences. Discrete Applied Mathematics, Elsevier, 2007, 155 (6-7), pp.868-880. 〈10.1016/j.dam.2005.07.016〉. 〈hal-01197504〉
  • Franck Picard, S. Robin, E. Lebarbier, J.-J. Daudin. A segmentation/clustering model for the analysis of array CGH data. Biometrics, Wiley, 2007, 63, pp.758-766. 〈hal-00434826〉
  • Franck Picard, Stephane Robin, Émilie Lebarbier, Jean-Jacques Daudin. A segmentation/clustering model for the analysis of array CGH data. Biometrics, Wiley, 2007, 63 (3), pp.758-766. 〈10.1111/j.1541-0420.2006.00729.x〉. 〈hal-01197574〉
  • Stephane Robin, Avner Bar-Hen, Jean-Jacques Daudin, Laurent Pierre. A semi-parametric approach for mixture models: Application to local false discovery rate estimation. Computational Statistics and Data Analysis, Elsevier, 2007, 51 (12), pp.5483-5493. 〈10.1016/j.csda.2007.02.028〉. 〈hal-01197551〉
  • Tristan Mary-Huard, Stephane Robin, Jean-Jacques Daudin. A penalized criterion for variable selection in classification. Journal of Multivariate Analysis, Elsevier, 2007, 98 (4), pp.695-705. 〈10.1016/j.jmva.2006.06.003〉. 〈hal-01197536〉
  • E. Aït Yahya-Graison, Julie Aubert, L. Dauphinot, Isabelle Rivals, Marguerite Prieur, et al.. Classification of variations of HSA21 gene expression in down syndrome lymphoblastoid cell lines : impact on disease phenotype. American Journal of Human Genetics, Elsevier (Cell Press), 2007, 81 (3), pp.475-491. 〈hal-01208111〉
  • E. Aït Yahya-Graison, Julie Aubert, Stephane Robin, L. Dauphinot, I. Rivals, et al.. Classification of human chromosome 21 gene-expression variations in down syndrome: Impact on disease phenotypes. American Journal of Human Genetics, Elsevier (Cell Press), 2007, 81 (3), pp.475-491. 〈10.1086/520000〉. 〈hal-01197498〉
  • David Halpern, Helene Chiapello, Sophie Schbath, Stephane Robin, Christelle Hennequet-Antier, et al.. Identification of DNA Motifs Implicated in Maintenance of Bacterial Core Genomes by Predictive Modeling. PLoS Genetics, Public Library of Science, 2007, 3 (9), pp.1614-1621;e153. 〈10.1371/journal.pgen.0030153〉. 〈hal-01197542〉
  • Stephane Robin, Sophie Schbath, Vincent Vandewalle. Statistical tests to compare motif count exceptionalities. BMC Bioinformatics, BioMed Central, 2007, 8, pp.84. 〈10.1186/1471-2105-8-84〉. 〈hal-01197501〉
  • Avner Bar-Hen, Jean-Jacques Daudin, Stephane Robin. Comparaisons multiples pour les microarrays. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2006, 146 (1-2), pp.45-62. 〈hal-01219538〉
  • Catherine Matias, Sophie Schbath, Etienne Birmelé, Jj Daudin, Stéphane Robin. Networks motifs: mean and variance for the count. Revstat, 2006, 4 (1), pp.31-51. 〈hal-00730901〉
  • Frédéric Mortier, Stephane Robin, Stéphane Lassalvy, Claire Baril, Avner Bar-Hen. Prediction of euclidean distances with discrete and continuous outcomes. Journal of Multivariate Analysis, Elsevier, 2006, 97 (8), pp.1799-1814. 〈10.1016/j.jmva.2005.06.010〉. 〈hal-01208115〉
  • J.J. Daudin, V. Lacroix, M. Mariadassou, V. Miele, Franck Picard, et al.. Uncovering structure in biological networks. incollection, 2006, --, pp.471-483. 〈hal-00427936〉
  • Sabrina Ledent, Stephane Robin. Checking homogeneity of patterns distribution in heterogeneous sequences. Journal of Computational Biology, Mary Ann Liebert, 2005, 12 (6), pp.672-685. 〈hal-01222438〉
  • P. Delmar, S. Robin, Jj Daudin. VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data. Bioinformatics, Oxford University Press (OUP), 2005, 21 (4), pp.502-508. 〈10.1093/bioinformatics/bti023〉. 〈hal-00126119〉
  • Franck Picard, Stephane Robin, Marc Lavielle, Christian Vaisse, Jean-Jacques Daudin. A statistical approach for array CGH data analysis. BMC Bioinformatics, BioMed Central, 2005, 6, 〈10.1186/1471-2105-6-27〉. 〈hal-01222433〉
  • Tristan Lorino, Jean-Jacques Daudin, Stephane Robin, Moez Sanaa. Factors associated with time to neonatal diarrhoea in french beef calves. Preventive Veterinary Medicine, Elsevier, 2005, 68 (2-4), pp.91-102. 〈10.1016/j.prevetmed.2004.11.013〉. 〈hal-01222437〉
  • Franck Picard, S. Robin, M. Lavielle, C. Vaisse, J.-J. Daudin. A statistical approach for array CGH data analysis. BMC Bioinformatics, BioMed Central, 2005, 6, pp.1-14. 〈hal-00427846〉
  • P. Delmar, S. Robin, D. Tronik Le Roux, Jj Daudin. Mixture model on the variance for the differential analysis of gene expression data. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2005, 54, pp.31-50 Part 1. 〈10.1111/j.1467-9876.2005.00468.x〉. 〈hal-00126144〉
  • Tristan Lorino, Moez Sanaa, Stephane Robin, Jean-Jacques Daudin. Comparison of semiparametric regression models for correlated survival data. Communications in Statistics - Simulation and Computation, Taylor & Francis, 2004, 33 (8), pp.1975-1991. 〈10.1081/STA-120037453〉. 〈hal-01222436〉
  • Julie Aubert, Avner Bar-Hen, Jean-Jacques Daudin, Stephane Robin. Determination of the regulated genes in microarray experiments using local FDR. BMC Bioinformatics, BioMed Central, 2004, 5 (125), 〈10.1186/1471-2105-5-125〉. 〈hal-01208107〉
  • S. Robin, J.J. Daudin, H. Richard, M.-F. Sagot, S. Schbath. Occurrence probability of structured motifs in random sequences. Journal of Computational Biology, Mary Ann Liebert, 2003, 9, pp.761-773. 〈hal-00427461〉
  • Stephane Robin, Mannaïg Lecomte, Hermanus Höfte, Gregory Mouille. A procedure for the clustering of cell wall mutants in the model plant arabidopsis based on fourier-transform infrared (FT-IR) spectroscopy. Journal of Applied Statistics, Taylor & Francis (Routledge), 2003, 30 (6), pp.669-681. 〈10.1080/0266476032000053745〉. 〈hal-01222426〉
  • Grégory Mouille, Stephane Robin, Mannaïg Lecomte, Sylvère Pagant, Hermanus Höfte. Classification and identification of arabidopsis cell wall mutants using fourier transfrom infrared (FT-IR) microspectroscopy. Plant Journal, Wiley, 2003, 35 (3), pp.393-404. 〈10.1046/j.1365-313X.2003.01807.x〉. 〈hal-01208114〉
  • Avner Bar-Hen, Stephane Robin. An iterative procedure for differential analysis of gene expression. Comptes Rendus Mathématique, Elsevier Masson, 2003, 337 (5), pp.343-346. 〈10.1016/S1631-073X(03)00365-0〉. 〈hal-01219539〉
  • Jean-Nöel Bacro, Jean-Jacques Daudin, Sabine Mercier, Stephane Robin. Back to the local score in the logarithmic case : a direct and simple proof. Annals of the Institute of Statistical Mathematics, Springer Verlag, 2002, 54, pp.748-757. 〈10.1023/A:1022407200882〉. 〈hal-01208109〉
  • Jean-Noel Bacro, Jean-Jacques Daudin, Sabine Mercier, Stéphane Robin. Back to the local score in the logarithmic case : a direct and simple proof,. Annals of the Institute of Statistical Mathematics, Springer Verlag, 2002, 54 (4), pp.748-757. 〈hal-00937519〉
  • Stephane Robin. A compound Poisson model for words occurrences in DNA sequences. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2002, 51 (4), pp.437-451. 〈10.1111/1467-9876.00279〉. 〈hal-01222434〉
  • Agnieszka Sekowska, Stephane Robin, Jean-Jacques Daudin, Alain Hénaut, Antoine Danchin. Extracting biological information from dna arrays : an unexpected link between arginine and methionine metabolism in bacillus subtilis. Genome Biology, BioMed Central, 2001, 2 (6), 〈10.1186/gb-2001-2-6-research0019〉. 〈hal-01219561〉
  • Gregory Nuel, Stephane Robin, Claire Baril. Predicting phenotypic distances using a linear model : the case of varietal distinctness. Journal of Applied Statistics, Taylor & Francis (Routledge), 2001, 28 (5), pp.607-621. 〈10.1080/02664760120047942〉. 〈hal-01222432〉
  • Grégory Nuel, Claire Baril, Stephane Robin. Varietal distinctness assisted by molecular markers : a methodological approach. Acta Horticulturae, International Society for Horticultural Science, 2001, 546, pp.65-71. 〈hal-01222431〉
  • Stephane Robin, Jean-Jacques Daudin. Exact distribution of the distances between any occurrences of a set of words. Annals of the Institute of Statistical Mathematics, Springer Verlag, 2001, 36 (4), pp.895-905. 〈10.1023/A:1014633825822〉. 〈hal-01222428〉
  • Stephane Robin, Jean-Jacques Daudin. Exact distribution of word occurrences in a random sequence of letters. Journal of Applied Probability, Applied Probability Trust, 1999, 36 (1), pp.179-193. 〈hal-01222427〉
  • Stephane Robin. A model for thermograms. Biometrics, Wiley, 1999, 55 (1), pp.37-43. 〈10.1111/j.0006-341X.1999.00037.x〉. 〈hal-01222430〉

Communication dans un congrès31 documents

  • Celine Levy Leduc, Maud Delattre, Tristan Mary-Huard, Stephane Robin. Two-dimensional segmentation for analyzing HiC data. ECCB 2014: The 13th European Conference on Computational Biology, Sep 2014, Strasbourg, France. Bioinformatics, 30 (17), pp.386-392, 2014, 〈10.1093/bioinformatics/btu443〉. 〈hal-01148580〉
  • Marie Pierre Etienne, Laurent Decreusefond, Gabriel Lang, Stephane Robin. Detecting genomic alteration in genomic profiles: the infinite population case. IWAP (International Workshop on Applied Probability) , Jun 2014, Antaly, Turkey. 〈hal-01589480〉
  • Cleynen Alice, Dudoit Sandrine, Lebarbier Emilie, Robin Stéphane. Two segmentation methods for genome annotation. The 10th International Workshop on Computational Biology, Jun 2013, Tampere, Finland. Reija Autio, Ilya Shmulevich, Korbinian Strimmer, Carsten Wiuf, Septimia Sarbu & Olli Yli-Harja, The 10th International Workshop on Computational Systems Biology, WCSB 2013. 〈hal-01587019〉
  • Xiaoqiang Wang, Émilie Lebarbier, Julie Aubert, Stephane Robin. A multivariate HMM with dependency structure for the detection of copy number variations. 45e Journées de Statistique de la SfDS, May 2013, Toulouse, France. 〈http://jds2013.sfds.asso.fr/〉. 〈hal-01589538〉
  • Alice Cleynen, Michel Koskas, Emilie Lebarbier, Guillem Rigaill, Stéphane Robin. Segmentor3isback : an r package for the fast and exact segmentation of seq-data. The R User Conference, Jun 2013, Albacete, Spain. 〈hal-01587007〉
  • Pierre Latouche, Stéphane Robin. Estimation de la fonction graphon d'un W-graphe. Application au réseau de la blogosphere politique française. 45èmes journées de Statistique, 2013, Toulouse, France. pp.JdS, 2013. 〈hal-00830095〉
  • Tristan Mary-Huard, Florence Jaffrézic, Stéphane Robin. ExactDAS: An exact test procedure for the detection of differential alternative splicing. 4th International Conference on Bioinformatics and Computational Biology (BICoB), Mar 2012, Las Vegas, United States. F. Saeed, H. Al-Mubaid, A. Khokhar, Conference on Bioinformatics and Computational Biology 2012 : (BICoB 2012). 〈hal-01587037〉
  • Michel Koskas, Gilles Grasseau, Etienne Birmelé, Sophie Schbath, Stephane Robin. NeMo: Fast Count and Statistical Significance of Network Motifs. MARAMI 2011 : 2. Conférence sur les Modèles et l'Analyse des Réseaux : Approches Mathématiques et Informatique, Oct 2011, Grenoble, France. n.p. 〈hal-00999907〉
  • Michel Koskas, Gilles Grasseau, Etienne Birmelé, Sophie Schbath, Stephane Robin. NeMo: Fast Count of Network Motifs. Journées Ouvertes Biologie Informatique Mathématiques (JOBIM), Jun 2011, Paris, France. pp.53-60, 2011. 〈hal-01000038〉
  • Antoine Channarond, Jean-Jacques Daudin, Stephane Robin. Inférence dans le Stochastic Block Model pour de grands graphes. JDS 2011 : 43. Journées de Statistique, May 2011, Gammarth, Tunisie. 416 p. 〈hal-01019782〉
  • Antoine Channarond, Jean-Jacques Daudin, Stephane Robin. Inférence dans le Stochastic Block Model pour les grands graphes. JFGG'10 : Journée thématique Fouille de grands graphes, Oct 2010, Toulouse, France. 20 p., 2010. 〈hal-01197533〉
  • Tristan Mary-Huard, Marie-Laure Martin-Magniette, Caroline Berard, Stephane Robin. Statistical methodology for the analysis of multi-sample ChIP-chip experiments. 25. International Biometric Conference, Dec 2010, Florianopolis, Brazil. 1 p., 2010. 〈hal-01197553〉
  • Émilie Lebarbier, Franck Picard, Eva Budinska, Stephane Robin. Modèle linéaire mixte avec segmentation : application à la détection de changements dans les dates de vendanges. 42. Journées de Statistique, May 2010, Marseille, France. 2010. 〈hal-01197573〉
  • Jean-Jacques Daudin, Alain Célisse, Steven Gazal, Stephane Robin. Properties of variational estimates of a mixture model for random graphs. ECCS10 European Conference on Complex Systems, Sep 2010, Lisbonne, France. 2010. 〈hal-01197575〉
  • Sébastien Li-Thiao-Te, Jean-Jacques Daudin, Stephane Robin. Mixture models of truncated data for estimating the number of species. 19. International Conference on Computational Statistics, Aug 2010, Paris, France. 2010. 〈hal-01197572〉
  • Emilie Lebarbier, Franck Picard, Eva Budinska, Stéphane Robin. Modèle linéaire mixte avec segmentation : application à la détection de changements dans les dates de vendanges. 42èmes Journées de Statistique, 2010, Marseille, France, France. 2010. 〈inria-00494861〉
  • Sebastien Li-Thiao-Te, Jean-Jacques Daudin, Stéphane Robin, Emilie Lebarbier. Modèles de mélange tronqués pour l'écologie microbienne. Estimation du nombre d'espèces manquantes.. 42èmes Journées de Statistique, 2010, Marseille, France, France. 2010. 〈inria-00494719〉
  • Steven Gazal, Jean-Jacques Daudin, Stéphane Robin. Accuracy of Variational Estimates for Random Graph Mixture Models. 42èmes Journées de Statistique, 2010, Marseille, France, France. 2010. 〈inria-00494740〉
  • Stevenn Volant, Marie-Laure Martin-Magniette, Stéphane Robin. Approche bayésienne variationnelle pour l'agrégation de modèles en classification.. 42èmes Journées de Statistique, 2010, Marseille, France, France. 2010. 〈inria-00494832〉
  • Tristan Mary-Huard, Émilie Lebarbier, Stephane Robin. A statistical approach to detect chromosomal domains of gene expression. International Federation of Classification Societies 2009 Conference, Mar 2009, Dresde, Germany. 14 p., 2009. 〈hal-01197555〉
  • Caroline Bérard, Marie-Laure Martin-Magniette, François Roudier, Stéphane Robin. Mélange de gaussiennes bidimensionnelles pour l'analyse de données de ChIP-chip IP/IP. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. 〈inria-00386657〉
  • Guillem Rigaill, Stéphane Robin, Emilie Lebarbier. Distribution de l'espace des segmentations. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. 〈inria-00386673〉
  • Stéphane Robin. Segmentation de signal et détection d'aberrations chromosomiques. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. 〈inria-00386788〉
  • Franck Picard, Émilie Lebarbier, Baba Thiam, Stephane Robin. Statistical assessment of chromosomal aberrations at the cohort level: the CGHSeg package. The 5. R useR Conference, Jul 2009, Rennes, France. 18 p., 2009. 〈hal-01197546〉
  • Felicie Faucon, Emmanuelle Rebours, Jean-Christophe Helbling, Claudia Bevilacqua, J. Aubert, et al.. Expression de gènes de l'immunité dans le tissu mammaire caprin gestant. Journées Scientifiques, Département de Génétique Animale, Apr 2008, Lacanau, France. 2008. 〈hal-01193347〉
  • Baba Thiam, Stephane Robin, Émilie Lebarbier. Segmentation simultanée de signaux: application aux données de microarray CGH. Congrès conjoint de la Société Statistique du Canada et de la Société Française de Statistique, May 2008, Ottawa, Canada. pp.219, 2008. 〈hal-01197547〉
  • Tristan Mary-Huard, Marie-Laure Martin-Magniette, Caroline Berard, Stephane Robin. ChIPmix: Mixture model of regressions for two-color ChIP-chip analysis. ECCB'08: 7. European Conference on Computational Biology, Sep 2008, Calgari, Italy. 19 p., 2008. 〈hal-01197548〉
  • Franck Picard, Jean-Jacques Daudin, Michel Koskas, Sophie Schbath, Stephane Robin. Assessing the exceptionality of network motifs. JOBIM Journées Ouvertes Biologie Informatique Mathématiques, Jul 2007, Marseille, France. 2007. 〈hal-01197515〉
  • Stephane Robin, Sophie Schbath, Marine Vandewalle. Statistical tests to compare motif count exceptionalities. JOBIM : Journées Ouvertes Biologie Informatique Mathématiques, Jul 2007, Marseille, France. 2007. 〈hal-01197521〉
  • Laurence Flori, Claire Rogel-Gaillard, Valentina Mariani, Gaëtan Lemonnier, M. Cochet, et al.. A Combined Transcriptomic Approach to Analyse the Dialogue between Pseudorabies Virus and Porcine Cells. International Symposium on Animal Genomics for Animal Health, 2007, Paris, France. Karger, 2008. 〈hal-01197578〉
  • Felicie Faucon, Emmanuelle Rebours, Jean-Christophe Helbling, Claudia Bevilacqua, Marie-Laure Magniette, et al.. Différenciation fonctionnelle de l'épithélium sécrétoire mammaire caprin. 14. Rencontres Recherches Ruminants, Dec 2007, Paris, France. 2007. 〈hal-01197492〉

Poster1 document

  • Julien Chiquet, Tristan Mary, Stephane Robin. Multi-trait genomic selection via multivariate regression with structured regularization. MLCB NIPS 2013, Oct 2013, South Lake Thao, United States. 2013. 〈hal-01601860〉

Chapitre d'ouvrage8 documents

  • Cécile Durot, Jade Giguelay, Sylvie Huet, François Koladjo, Stephane Robin. Convex estimation. Capture-recapture methods for the social and medical sciences, CRC Press (Taylor \& Francis Group), pp.417, 2017, Interdisciplinary Statistics Series, 978-1-4987-4531-4. 〈hal-01606476〉
  • Stephane Robin. Introduction to statistical methods for complex systems. Handbook of Statistical Systems Biology, Wiley and Sons, 530 p., 2011, 978-0-470-71086-9. 〈hal-01222891〉
  • Guillem Rigaill, Émilie Lebarbier, Stephane Robin. Exact posterior distributions over the segmentation space and model selection for multiple change-point detection problems. Proceedings of COMPSTAT'2010: 19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers, Springer - Verlag, 2010, 978-3-7908-2603-6. 〈10.1007/978-3-7908-2604-3_57〉. 〈hal-01197523〉
  • Sophie Schbath, Stephane Robin. How can pattern statistics be useful for DNA motif discovery ?. Scan Statistics. Methods and Applications, 28, Birkhäuser Publishing, 2009, Statistics for Industry and Technology, 978-0-8176-4748-3. 〈hal-01197508〉
  • Patrick Doumas, Christophe Rothan, Yves Al-Ghazi, Stephane Robin. DNA microarrays in Plants. Functional Plant Genomics, Science Publishers, 2007, 978-1-57808-506-4. 〈hal-01197500〉
  • Stephane Robin, Patrick Doumas, Christophe Rothan. Analyse du transcriptome végétal pas les puces à ADN. La génomique en biologie végétale, Quae éditions, 582 p., 2004, Science Update, 978-2-7380-1167-1. 〈hal-01222888〉
  • Stephane Robin, Marie-Laure Magniette. Techniques statistique pour l’analyse du transcriptome. Informatique pour l’analyse du transcriptome, Editions Lavoisier, 320 p., 2004. 〈hal-01222881〉
  • Stephane Robin. Some statistical issues in microarray data analysis. Between Data Science And Applied Data Analysis, Springer-Verlag, 2003, Studies in Classification, Data Analysis, and Knowledge Organization, 978-3-642-18991-3. 〈hal-01222890〉

Pré-publication, Document de travail6 documents

  • Sophie Donnet, Stéphane Robin. Shortened Bridge Sampler: Using deterministic approximations to accelerate SMC for posterior sampling. 2017. 〈hal-01566898〉
  • Nathalie Dubois Peyrard, Simon De Givry, Alain Franc, Stephane Robin, Regis Sabbadin, et al.. Exact and approximate inference in graphical models: variable elimination and beyond. 2015. 〈hal-01197655〉
  • Pierre Latouche, Stéphane Robin, Sarah Ouadah. Goodness of fit of logistic models for random graphs. 2015. 〈hal-01187890〉
  • Sarah Ouadah, Stéphane Robin, Pierre Latouche. A degree-based goodness-of-fit test for heterogeneous random graph models. 2015. 〈hal-01187889〉
  • Pierre Latouche, Stéphane Robin. Bayesian Model Averaging of Stochastic Block Models to Estimate the Graphon Function and Motif Frequencies in a W-graph Model. 2013. 〈hal-00876334〉
  • Alain Celisse, Stéphane Robin. A leave-p-out based estimation of the proportion of null hypotheses. 21 pages. 2007. 〈hal-00270908〉

Rapport5 documents

  • Julien Chiquet, Mahendra Mariadassou, Stephane Robin. Variational inference for probabilistic Poisson PCA. [University works] auto-saisine. 2017. 〈hal-01608912〉
  • Paul Bastide, Céline Ané, Stephane Robin, Mahendra Mariadassou. Inference of Adaptive Shifts for Multivariate Correlated Traits. [University works] auto-saisine. 2017. 〈hal-01608932〉
  • Cécile Durot, Sylvie Huet, François Koladjo, Stephane Robin. Nonparametric species richness estimation under convexity constrain. [Technical Report] auto-saisine. 2014, 36 p. 〈hal-01197616〉
  • Jean-Jacques Daudin, Franck Picard, Stéphane Robin. A mixture model for random graphs. [Research Report] RR-5840, INRIA. 2006, pp.19. 〈inria-00070186〉
  • Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Gilles Celeux, et al.. A statistical approach for CGH microarray data analysis. [Research Report] RR-5139, INRIA. 2004. 〈inria-00071444〉