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Uncovering latent structure in valued graphs: a variational approach
hal.structure.identifier | Unité Mathématique Informatique et Génome [MIG] | |
dc.contributor.author | MARIADASSOU, Mahendra | |
hal.structure.identifier | Mathématiques et Informatique Appliquées [MIA-Paris] | |
dc.contributor.author | ROBIN, Stephane | |
hal.structure.identifier | Biodiversité, Gènes & Communautés [BioGeCo] | |
dc.contributor.author | VACHER, Corinne | |
dc.date.issued | 2010 | |
dc.identifier.issn | 1932-6157 | |
dc.description.abstractEn | As more and more network-structured data sets are available, the statistical analysis of valued graphs has become common place. Looking for a latent structure is one of the many strategies used to better understand the behavior of a network. Several methods already exist for the binary case. We present a model-based strategy to uncover groups of nodes in valued graphs. This framework can be used for a wide span of parametric random graphs models and allows to include covariates. Variational tools allow us to achieve approximate maximum likelihood estimation of the parameters of these models. We provide a simulation study showing that our estimation method performs well over a broad range of situations. We apply this method to analyze host parasite interaction networks in forest ecosystems. | |
dc.language.iso | en | |
dc.publisher | Institute of Mathematical Statistics | |
dc.subject.en | ECOLOGICAL NETWORKS | |
dc.subject.en | HOST–PARASITE INTERACTIONS | |
dc.subject.en | LATENT STRUCTURE | |
dc.subject.en | MIXTURE | |
dc.subject.en | MODEL | |
dc.subject.en | RANDOM GRAPH | |
dc.subject.en | VALUED GRAPH | |
dc.subject.en | VARIATIONAL METHOD | |
dc.subject.en | RELATION HOTE-PARASITE | |
dc.title.en | Uncovering latent structure in valued graphs: a variational approach | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1214/10-AOAS361 | |
dc.subject.hal | Sciences du Vivant [q-bio] | |
bordeaux.journal | Annals of Applied Statistics | |
bordeaux.page | 715-742 | |
bordeaux.volume | 4 | |
bordeaux.issue | 2 | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01197514 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Non spécifiée | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01197514v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Annals%20of%20Applied%20Statistics&rft.date=2010&rft.volume=4&rft.issue=2&rft.spage=715-742&rft.epage=715-742&rft.eissn=1932-6157&rft.issn=1932-6157&rft.au=MARIADASSOU,%20Mahendra&ROBIN,%20Stephane&VACHER,%20Corinne&rft.genre=article |
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