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Number of documents

10

Etienne Birmelé


Christophe Ambroise   

Journal articles5 documents

  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Model Selection in Overlapping Stochastic Block Models. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2014, 8, pp.762-794. ⟨hal-00990277⟩
  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Variational Bayesian Inference and Complexity Control for Stochastic Block Models. Statistical Modelling, SAGE Publications, 2012, 12 (1), pp.93-115. ⟨hal-00624536⟩
  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Overlapping stochastic block models with application to the French political blogosphere. Annals of Applied Statistics, Institute of Mathematical Statistics, 2011, 5 (1), pp.309-336. ⟨hal-00624538⟩
  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. OVERLAPPING STOCHASTIC BLOCK MODELS WITH APPLICATION TO THE FRENCH POLITICAL BLOGOSPHERE. Annals of Applied Statistics, Institute of Mathematical Statistics, 2011, 5 (1), pp.309 - 336. ⟨10.1214/10-AOAS382⟩. ⟨hal-02652556⟩
  • Etienne Birmele, Mohamed Elati, Céline Rouveirol, Christophe Ambroise. Identification of functional modules based on transcriptional regulation structure. BMC Proceedings, BioMed Central, 2008, 2 (4), pp.S4. ⟨hal-00730904⟩

Conference papers3 documents

  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Modèles de graphe aléatoire à classes chevauchantes pour l'analyse des réseaux. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494820⟩
  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. A latent logistic model to uncover overlapping clusters in networks. Atelier AGS (Apprentissage et Graphes pour les Systèmes complexes), May 2009, Hammamet, Tunisia. pp.3-8. ⟨hal-00629310⟩
  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Uncovering overlapping clusters in biological networks. Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), Jun 2009, Nantes, France. pp.28. ⟨hal-00629321⟩

Book sections2 documents

  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Overlapping clustering methods for networks. Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg. Chapman and Hall/CRC. Handbook of Mixed Membership Models and Their Applications, Chapman and Hall/CRC, in press, 2014. ⟨hal-00984395⟩
  • Pierre Latouche, Etienne Birmelé, Christophe Ambroise. Bayesian methods for graph clustering. Andreas Fink, Berthold Lausen, Wilfried Seidel and Alfred Ultsch. Advances in Data Analysis, Data Handling and Business Intelligence, Springer, pp.229-239, 2009, Studies in Classification, Data Analysis, and Knowledge Organization, 978-3-642-01043-9. ⟨10.1007/978-3-642-01044-6⟩. ⟨hal-00629294⟩