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dc.contributor.authorCorander, Jukka
dc.contributor.authorPanchal, Mahesh
dc.contributor.authorGaggiotti, Oscar
dc.contributor.authorHey, Jody
dc.contributor.authorEstoup, Arnaud
HAL ID: 745567
ORCID: 0000-0002-4357-6144
dc.contributor.authorKnowles, Lacey
dc.contributor.authorRobert, Christian P.
dc.contributor.authorNielsen, Rasmus
dc.contributor.authorBeaumont, Mark A.
dc.contributor.authorYang, Ziheng
dc.contributor.authorCornuet, Jean-Marie
dc.contributor.authorVitalis, Renaud
HAL ID: 737526
ORCID: 0000-0001-7096-3089
dc.contributor.authorFoll, Matthieu
dc.contributor.authorHuelsenbeck, John
dc.contributor.authorFagundes, Nelson
dc.contributor.authorSisson, Scott A.
dc.contributor.authorBeerli, Peter
dc.contributor.authorChikhi, Lounès
dc.contributor.authorHickerson, Mike
dc.contributor.authorExcoffier, Laurent
dc.contributor.authorBalding, David
dc.contributor.authorRousset, François
HAL ID: 19671
ORCID: 0000-0003-4670-0371
dc.date.accessioned2010-07-22T15:12:16Z
dc.date.available2010-07-22T15:12:16Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4653
dc.language.isoenen
dc.subjectpopulation genetics-empiricalen
dc.subjectphylogeographyen
dc.subjectApproximate Bayesian Computationen
dc.subjectpopulation genetics-theoreticalen
dc.subjectmolecular evolutionen
dc.subject.ddc519en
dc.subject.classificationjelC11en
dc.titleIn defence of model-based inference in phylogeographyen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenRecent papers have promoted the view that model-based methods in general, and those based on Approximate Bayesian Computation (ABC) in particular, are flawed in a number of ways, and are therefore inappropriate for the analysis of phylogeographic data. These papers further argue that Nested Clade Phylogeographic Analysis (NCPA) offers the best approach in statistical phylogeography. In order to remove the confusion and misconceptions introduced by these papers, we justify and explain the reasoning behind model-based inference. We argue that ABC is a statistically valid approach, alongside other computational statistical techniques that have been successfully used to infer parameters and compare models in population genetics. We also examine the NCPA method and highlight numerous deficiencies, either when used with single or multiple loci. We further show that the ages of clades are carelessly used to infer ages of demographic events, that these ages are estimated under a simple model of panmixia and population stationarity but are then used under different and unspecified models to test hypotheses, a usage the invalidates these testing procedures. We conclude by encouraging researchers to study and use model-based inference in population genetics.en
dc.relation.isversionofjnlnameMolecular Ecology
dc.relation.isversionofjnlvol19en
dc.relation.isversionofjnlissue3en
dc.relation.isversionofjnldate2010-02
dc.relation.isversionofjnlpages436-446en
dc.relation.isversionofdoihttp://dx.doi.org/10.1111/j.1365-294X.2009.04515.xen
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherBlackwellen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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