Skip to Main content
Number of documents

180

Stéphane Robin


Journal articles110 documents

  • Julien Chiquet, Mahendra Mariadassou, Stéphane Robin. The Poisson-Lognormal Model as a Versatile Framework for the Joint Analysis of Species Abundances. Frontiers in Ecology and Evolution, Frontiers Media S.A, 2021, 9, ⟨10.3389/fevo.2021.588292⟩. ⟨hal-03215628⟩
  • Andreas Makiola, Zacchaeus G. Compson, Donald J Baird, Matthew Barnes, Sam Boerlijst, et al.. Key questions for next-generation biomonitoring. Frontiers in Environmental Science, Frontiers, In press, 7, ⟨10.3389/fenvs.2019.00197⟩. ⟨hal-02402296⟩
  • Sarah Ouadah, Stéphane Robin, Pierre Latouche. Degree-based goodness-of-fit tests for heterogeneous random graph models : independent and exchangeable cases. Scandinavian Journal of Statistics, Wiley, In press, ⟨10.1111/sjos.12410⟩. ⟨hal-02454464⟩
  • Emma Forst, Jerome Enjalbert, Vincent Allard, Christophe Ambroise, Inès Krissaane, et al.. A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat. Field Crops Research, Elsevier, 2019, 242, pp.107571. ⟨10.1016/j.fcr.2019.107571⟩. ⟨hal-02618625⟩
  • Loïc Schwaller, Stephane Robin, Michael Stumpf. Closed-form Bayesian inference of graphical model structures by averaging over trees. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2019, 160 (2), pp.1-23. ⟨hal-03111633⟩
  • Nathalie Peyrard, Marie-Josée Cros, Simon de Givry, Alain Franc, Stephane Robin, et al.. Exact or approximate inference in graphical models: why the choice is dictated by the treewidth, and how variable elimination can be exploited. Australian and New Zealand Journal of Statistics, Wiley, 2019, 61 (2), pp.89-133. ⟨10.1111/anzs.12257⟩. ⟨hal-02433018⟩
  • Geneviève Robin, Christophe Ambroise, Stephane Robin. Incomplete graphical model inference via latent tree aggregation. Statistical Modelling, SAGE Publications, 2019, 19 (5), pp.545-568. ⟨10.1177/1471082X18786289⟩. ⟨hal-01686841⟩
  • Xiaoqiang Wang, Emilie Lebarbier, Julie Aubert, Stephane Robin. Variational inference for coupled hidden markov models applied to the joint detection of copy number variations. International Journal of Biostatistics, De Gruyter, 2019, 15 (1), ⟨10.1515/ijb-2018-0023⟩. ⟨hal-02626026⟩
  • Vincent Miele, Stephane Robin, Catherine Matias, Stéphane Dray. Nine Quick Tips for Analyzing Network Data. PLoS Computational Biology, Public Library of Science, 2019, 15 (12), pp.e1007434. ⟨10.1371/journal.pcbi.1007434⟩. ⟨hal-02089501v2⟩
  • Paul Bastide, Céline Ané, Stephane Robin, Mahendra Mariadassou. Inference of Adaptive Shifts for Multivariate Correlated Traits. Systematic Biology, Oxford University Press (OUP), 2018, 67, ⟨10.1093/sysbio/syy005⟩. ⟨hal-01608932⟩
  • Pierre Latouche, Stephane Robin, Sarah Ouadah. Goodness of fit of logistic regression models for random graphs. Journal of Computational and Graphical Statistics, Taylor & Francis, 2018, 27 (1), pp.98-109. ⟨10.1080/10618600.2017.1349663⟩. ⟨hal-01583801⟩
  • 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, ⟨10.1111/rssb.12206⟩. ⟨hal-01551071⟩
  • Eleni Delatola, Emilie Lebarbier, Tristan Mary-Huard, François Radvanyi, Stéphane Robin, et al.. SegCorr a statistical procedure for the detection of genomic regions of correlated expression. BMC Bioinformatics, BioMed Central, 2017, 18 (1), pp.333. ⟨10.1186/s12859-017-1742-5⟩. ⟨inserm-02059501⟩
  • Souhil Chakar, Céline Levy Leduc, Stephane Robin, E. Lebarbier. 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⟩
  • 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⟩
  • Alice Cleynen, Stephane Robin. Comparing change-point location in independent series. Statistics and Computing, Springer Verlag (Germany), 2016, 26 (1-2), pp.1-14. ⟨10.1007/s11222-014-9492-y⟩. ⟨hal-01208118⟩
  • F. Roblot, S. Robin, Caroline Chubilleau, J. Giraud, B. Bouffard, et al.. Vaccination coverage in French 17-year-old young adults: an assessment of mandatory and recommended vaccination statuses. Epidemiology and Infection, Cambridge University Press (CUP), 2016, 144 (3), pp.612-617. ⟨10.1017/S0950268815001533⟩. ⟨hal-02550876⟩
  • 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. ⟨10.1007/s11222-015-9607-0⟩. ⟨hal-01519750⟩
  • Julien Chiquet, Tristan Mary-Huard, Stephane Robin. Structured regularization for conditional Gaussian graphical models. Statistics and Computing, Springer Verlag (Germany), 2016, 27 (3), pp.1-16. ⟨10.1007/s11222-016-9654-1⟩. ⟨hal-01531660⟩
  • 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, 26 (7), pp.502-513. ⟨10.1002/env.2352⟩. ⟨hal-01250079⟩
  • 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, 26 (1-2), ⟨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⟩
  • Celine Levy Leduc, Stephane Robin. Les nouveaux défis de la biologie moléculaire. Symbiose (Magazine d'Agroparistech Alumni), 2015, 12. ⟨hal-01537747⟩
  • 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⟩
  • Alice Cleynen, Michel Koskas, 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⟩
  • 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. ⟨10.1051/proc/201447004⟩. ⟨hal-00948421v2⟩
  • Cécile Durot, Sylvie Huet, Francois Koladjo, Stephane Robin. Least-squares estimation of a convex discrete distribution. Computational Statistics and Data Analysis, Elsevier, 2013. ⟨hal-01712994⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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.1935 -2601. ⟨10.1214/12-EJS753⟩. ⟨hal-02374976⟩
  • 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⟩. ⟨hal-01190224⟩
  • 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⟩
  • 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. ⟨10.1080/00949655.2011.560117⟩. ⟨hal-01000025⟩
  • Guillem Rigaill, 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⟩
  • Franck Picard, E. 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⟩
  • 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), pp.50. ⟨10.2202/1544-6115.1692⟩. ⟨hal-01190201⟩
  • 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, Caroline Bérard, Alexis Sarazin, 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-03065516⟩
  • 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, Mark Hoebeke, Guillem Rigaill, Baba Thiam, Stephane Robin. 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⟩
  • 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, Institute of Mathematical Statistics, 2010, 4 (2), pp.715-742. ⟨10.1214/10-AOAS361⟩. ⟨hal-01197514⟩
  • 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⟩
  • 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⟩
  • 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. La revue MODULAD, 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⟩
  • 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. ⟨hal-01193417⟩
  • 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⟩
  • 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⟩
  • M. Guedj, S. Robin, Alain 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⟩
  • Franck Picard, Vincent Miele, Jean-Jacques Daudin, Ludovic Cottret, Stephane Robin. Deciphering the connectivity structure of biological networks using MixNet. BMC Bioinformatics, BioMed Central, 2009, 10, pp.1-11. ⟨10.1186/1471-2105-10-S6-S17⟩. ⟨hal-02658961⟩
  • 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⟩
  • Marie-Laure Magniette, Tristan Mary-Huard, Caroline Berard, Stephane Robin. ChIPmix: mixture model of regressions for two-color ChIP-chip analysis. Bioinformatics (Oxford, England), Oxford University Press, 2008, 24 (16), pp.i181-i186. ⟨10.1093/bioinformatics/btn280⟩. ⟨hal-01197653⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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 (46), 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⟩
  • 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⟩
  • Franck Picard, Stephane Robin, 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, 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • J.J. Daudin, Vincent Lacroix, M. Mariadassou, V. Miele, Franck Picard, et al.. Uncovering structure in biological networks. incollection, 2006, --, pp.471-483. ⟨hal-00427936⟩
  • 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⟩
  • Catherine Matias, Sophie Schbath, Etienne Birmelé, Jj Daudin, Stéphane Robin. Networks motifs: mean and variance for the count. REVSTAT - Statistical Journal, Instituto Nacional de Estatistica, 2006, 4 (1), pp.31-51. ⟨hal-00730901⟩
  • C. Matias, Sophie Schbath, Etienne Birmelé, Jean-Jacques Daudin, Stephane Robin. Network motifs : mean and variance for the count. REVSTAT - Statistical Journal, Instituto Nacional de Estatistica, 2006, 4 (1), pp.31-51. ⟨hal-02655236⟩
  • 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) (4), pp.502-508. ⟨10.1093/bioinformatics/bti023⟩. ⟨hal-00126119⟩
  • 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 (Part 1), pp.31-50 Part 1. ⟨10.1111/j.1467-9876.2005.00468.x⟩. ⟨hal-00126144⟩
  • Christelle Hennequet-Antier, Helene Chiapello, Karine Piot, Severine Degrelle, Isabelle Hue, et al.. AnovArray: a set of SAS macros for the analysis of variance of gene expression data. BMC Bioinformatics, BioMed Central, 2005, 6, pp.150. ⟨10.1186/1471-2105-6-150⟩. ⟨inserm-02440250⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Tristan Mary-Huard, Jean-Jacques Daudin, Stephane Robin, Frederique Bitton, Eric Cabannes, et al.. Spotting effect in microarray experiments. BMC Bioinformatics, BioMed Central, 2004, 5, pp.63. ⟨10.1186/1471-2105-5-63⟩. ⟨hal-02676641⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Avner Bar-Hen, Stephane Robin. An iterative procedure for differential analysis of gene expression. Comptes Rendus. Mathématique, Centre Mersenne (2020-..) ; Elsevier Masson (2002-2019), 2003, 337 (5), pp.343-346. ⟨10.1016/S1631-073X(03)00365-0⟩. ⟨hal-01219539⟩
  • 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⟩
  • 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. ⟨10.1023/A:1022407200882⟩. ⟨hal-00937519⟩
  • 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, 2002, 9 (6), pp.761-773. ⟨10.1089/10665270260518254⟩. ⟨hal-00427461⟩
  • 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⟩
  • 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⟩
  • 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, Sophie Schbath. Numerical comparison of several approximations of the word count distribution in random sequences. Journal of Computational Biology, Mary Ann Liebert, 2001, 8 (4), pp.349-359. ⟨hal-02675878⟩
  • Sabine Demotes-Mainard, Marie-Helene Jeuffroy, Stephane Robin. Spike dry matter and nitrogen accumulation before anthesis in wheat as affected by nitrogen fertilizer: relationship to kernels per spike. Field Crops Research, Elsevier, 1999, 64, pp.249-259. ⟨hal-02695485⟩
  • Stephane Robin, Jean-Jacques Daudin. Exact distribution of word occurrences in a random sequence of letters. Journal of Applied Probability, Cambridge University press, 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⟩
  • A. Sahli, P. Trecourt, Stephane Robin. One sided acceptance sampling by variables : the case of the Laplace distribution. Communications in Statistics - Theory and Methods, Taylor & Francis, 1997, 26 (11), pp.2817-2834. ⟨hal-02686398⟩
  • Stephane Robin. Sensitivity analysis of non-parametric tests for censored data. Communications in Statistics - Theory and Methods, Taylor & Francis, 1996, 25 (8), pp.1693-1715. ⟨hal-02685934⟩

Conference papers39 documents

  • Julien Chiquet, Mahendra Mariadassou, Stephane Robin. Variational Inference for sparse network reconstruction from count data. ICML 2019 International Conference on Machine Learning, Jun 2019, Long Beach, United States. ⟨hal-02735800⟩
  • Camille Pajot, Benoît Delinchant, Yves Maréchal, Frédéric Wurtz, Stephane Robin, et al.. Data-driven Modeling of Building Consumption Profile for Optimal Flexibility: Application to Energy Intensive Industry. Building Simulation Conference 2019, Sep 2019, Rome, Italy. ⟨hal-02364669⟩
  • Tristan Mary-Huard, Stephane Robin, Celine Levy Leduc, Maud Delattre, Vincent Brault, et al.. Diagonal blockwise matrix segmentation in computational biology. IFCAM Workshop, 2016, Bangalore, India. ⟨hal-02795763⟩
  • 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⟩
  • 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. pp.386-392, ⟨10.1093/bioinformatics/btu443⟩. ⟨hal-01148580⟩
  • 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. ⟨hal-01587019⟩
  • 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. ⟨hal-00830095⟩
  • Pierre Barbillon, Thomas Mathieu, Isabelle Goldringer, Frederic Hospital, Stephane Robin. Network impact on persistence in a finite population dynamic exchange model. Journées de statistiques de la SFDS, May 2013, Toulouse, France. ⟨hal-01586982⟩
  • Xiaoqiang Wang, 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. ⟨hal-01589538⟩
  • 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. ⟨hal-01587037⟩
  • Mahendra Mariadassou, Stephane Robin, Corinne Vacher. Uncovering latent structure in valued graphs: a variational approach. Probability and Discrete Mathematics in Mathematical Biology, May 2011, Singapore, Singapore. 47 diapos. ⟨hal-02802815⟩
  • 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⟩
  • 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. ⟨hal-01000038⟩
  • 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⟩
  • 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. ⟨hal-01197553⟩
  • 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. ⟨inria-00494861⟩
  • 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. ⟨hal-01197572⟩
  • Steven Gazal, Jean-Jacques Daudin, Stéphane Robin. Accuracy of Variational Estimates for Random Graph Mixture Models. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494740⟩
  • 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. ⟨inria-00494719⟩
  • 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. ⟨inria-00494832⟩
  • 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. ⟨hal-01197575⟩
  • 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. ⟨hal-01197533⟩
  • 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. ⟨hal-01197573⟩
  • Guillem Rigaill, Stéphane Robin, Emilie Lebarbier. Distribution de l'espace des segmentations. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386673⟩
  • Stéphane Robin. Segmentation de signal et détection d'aberrations chromosomiques. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386788⟩
  • 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. ⟨inria-00386657⟩
  • Tristan Mary-Huard, 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. ⟨hal-01197555⟩
  • Franck Picard, 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. ⟨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. ⟨hal-01193347⟩
  • 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. ⟨hal-01197548⟩
  • Baba Thiam, Stephane Robin. 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. ⟨hal-01197547⟩
  • 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. ⟨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. ⟨hal-01197521⟩
  • 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. ⟨hal-01197492⟩
  • Franck Picard, Eva Budinska, Stephane Robin. Joint segmentation of multivariate Gaussian processes using mixed linear models. 12. International Conference on Applied Stochastic Models and Data Analysis, Jun 2007, Chania, Greece. ⟨hal-02751255⟩
  • Laurence Flori, Claire 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. ⟨hal-01197578⟩
  • Tristan Mary-Huard, Stephane Robin. Compression pour la classification supervisée. Journées MAS: Modèles Spatiaux, Sep 2006, Lille, France. n.p. ⟨hal-02816369⟩
  • Stephane Robin. Modélisation de thermogrammes. Journées Agro-industries, 1995, Dijon, France. ⟨hal-02775199⟩

Poster communications1 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⟩

Books6 documents

  • David Bohan, Dominique Gravel, Alireza Tamaddoni-Nezhad, C. Vacher, Stephane Robin. A next-generation of biomonitoring to detect global ecosystem change. 2020, ⟨10.3389/978-2-88966-027-8⟩. ⟨hal-03158319⟩
  • Tristan Mary-Huard, Liliane Bel, Marie Pierre Etienne, Stephane Robin. Le modèle linéaire et ses extensions - Modèle linéaire général, modèle linéaire généralisé, modèle mixte, plans d'expériences (Niveau C). Edition Ellipses, 323 p., 2015. ⟨hal-02795592⟩
  • Stephane Robin, Francois Rodolphe, Sophie Schbath. DNA, words and models: statistics of exceptional words. Cambridge University Press, 138 p., 2005, 0-521-84729-X. ⟨10.2277/052184729X⟩. ⟨hal-02829582⟩
  • Stephane Robin, Francois Rodolphe, Sophie Schbath. ADN, mots et modèles. Editions Belin, 144 p., 2003, 2-7011-3696-2. ⟨hal-02825904⟩
  • C. Duby, Stephane Robin. Analyse en composantes principales. 50 p., 1997. ⟨hal-02836916⟩
  • J.J. Daudin, C. Duby, Stephane Robin, P. Trecourt. Analyse de séries chronologiques. 51 p., 1996. ⟨hal-02842483⟩

Book sections11 documents

  • Stephane Robin, Christophe Ambroise. Applications in Genomics. FruhwirthSchnatter, S; Celeux, G; Robert, CP. HANDBOOK OF MIXTURE ANALYSIS, CRC PRESS-TAYLOR & FRANCIS GROUP, 2019, Chapman & Hall-CRC Handbooks of Modern Statistical Methods, 978-0-429-50824-0; 978-1-4987-6381-3. ⟨hal-03111649⟩
  • 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, 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. False discovery rate. Encyclopedia of Biopharmaceutical Statistics, CRC Press (Taylor \& Francis Group), 1504 p., 2006, 9781439822456. ⟨hal-02813563⟩
  • 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, 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⟩
  • Patrick Doumas, Christophe Rothan, Stephane Robin. Analyse du transcriptome végétal par les puces à ADN. La génomique en biologie végétale, INRA Editions, 2004, Science Update, 2-7380-1167-5. ⟨hal-02830273⟩
  • 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⟩

Preprints, Working Papers, ...8 documents

  • Raphaëlle Momal, Stephane Robin, Christophe Ambroise. Accounting for missing actors in interaction network inference from abundance data. 2021. ⟨hal-03134033⟩
  • Sophie Donnet, Stéphane Robin. Bayesian inference for network Poisson models. 2019. ⟨hal-02192621⟩
  • Sophie Donnet, Stéphane Robin. Shortened Bridge Sampler: Using deterministic approximations to accelerate SMC for posterior sampling. 2017. ⟨hal-01566898⟩
  • 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, Sarah Ouadah. Goodness of fit of logistic models for random graphs. 2015. ⟨hal-01187890⟩
  • 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. 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. 2007. ⟨hal-00270908⟩

Reports4 documents

  • Julien Chiquet, Mahendra Mariadassou, Stephane Robin. Variational inference for probabilistic Poisson PCA. [University works] auto-saisine. 2017. ⟨hal-01608912⟩
  • Cécile Durot, Sylvie Huet, François Koladjo, Stephane Robin. Nonparametric species richness estimation under convexity constrain. [Technical Report] 2014-1, 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⟩

Theses1 document

  • Stephane Robin. Trajectoires professionnelles des docteurs en sciences de la vie : carrières, irréversibilités, compétences. Sciences de l'Homme et Société. Université Pierre Mendès-France (Grenoble 2), 2002. Français. ⟨tel-02828002⟩