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UID:978@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20151209T110000
DTEND;TZID=Europe/Paris:20151209T120000
DTSTAMP:20151124T100000Z
URL:https://www.i2m.univ-amu.fr/evenements/detection-of-adaptive-shifts-on
 -phylogenies-using-shifted-stochastic-processes-on-a-tree/
SUMMARY: (...): Detection of (adaptive) shifts on phylogenies using shifted
  stochastic processes on a tree
DESCRIPTION:: Comparative and evolutive ecologists are interested in the di
 stribution of quantitative traits among related species. The classical fra
 mework for these distributions consists of a random process running along 
 the branches of a phylogenetic tree relating the species. We consider shif
 ts in the process parameters\, which reveal fast adaptation to changes of 
 ecological niches. We show that models with shifts are not identifiable in
  general. Constraining the models to be parsimonious in the number of shif
 ts partially alleviates the problem but several evolutionary scenarios can
  still provide the same joint distribution for the extant species. We prov
 ide a recursive algorithm to enumerate all the equivalent scenarios and to
  count the effectively different scenarios. We introduce an incomplete-dat
 a framework and develop a maximum likelihood estimation procedure based on
  the EM algorithm. Finally\, we propose a model selection procedure\, base
 d on the cardinal of effective scenarios\, to estimate the number of shift
 s and prove an oracle inequality.https://www6.inra.fr/mia-paris/Equipes/Me
 mbres/Stephane-Robin
CATEGORIES:Séminaire,Mathématiques-Évolution-Biologie
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DTSTART:20151025T020000
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