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hal.structure.identifierLaboratoire Jean Alexandre Dieudonné [JAD]
hal.structure.identifierApplications of interacting particle systems to statistics [ASPI]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierLaboratoire d'Analyse, Topologie, Probabilités [LATP]
dc.contributor.authorMICLO, Laurent
hal.structure.identifierLaboratoire Jean Alexandre Dieudonné [JAD]
dc.contributor.authorPATRAS, Frédéric
hal.structure.identifierLaboratoire Jean Alexandre Dieudonné [JAD]
dc.contributor.authorRUBENTHALER, Sylvain
dc.date.issued2009
dc.identifier.issn0736-2994
dc.description.abstractEnThis article is concerned with the long time behavior of neutral genetic population models, with fixed population size. We design an explicit, finite, exact, genealogical tree based representation of stationary populations that holds both for finite and infinite types (or alleles) models. We then analyze the decays to the equilibrium of finite populations in terms of the convergence to stationarity of their first common ancestor. We estimate the Lyapunov exponent of the distribution flows with respect to the total variation norm. We give bounds on these exponents only depending on the stability with respect to mutation of a single individual; they are inversely proportional to the population size parameter.
dc.language.isoen
dc.publisherTaylor & Francis: STM, Behavioural Science and Public Health Titles
dc.subject.enLyapunov exponent
dc.subject.encoalescent trees
dc.subject.enWright-Fisher model
dc.subject.enneutral genetic models
dc.subject.enstationary distribution
dc.title.enThe convergence to equilibrium of neutral genetic models
dc.typeArticle de revue
dc.identifier.doi10.1080/07362990903415833
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxivmath/0701284
bordeaux.journalStochastic Analysis and Applications
bordeaux.page123-143
bordeaux.volume28
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierinria-00239259
hal.version4
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00239259v4
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