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SUMMARY:Bayesian time-tree priors - Drummond\, AD (Auckland)
DTSTART:20110622T092000Z
DTEND:20110622T094000Z
UID:TALK31823@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Bayesian phylogenetic inference requires specification of a pr
 ior distribution on the space of trees. In BEAST\, the phylogenetic histor
 y is explicitly separated into a time-tree (by definition ultrametric for 
 contemporaneous taxa) and the rates of evolution\, which may vary from lin
 eage to lineage. The combination can account for phylogenetic trees with n
 on-ultrametric branches in units of substitutions per site. Hierarchical B
 ayesian priors on the time-tree lead to inference of population and dynami
 cal priors through application of the coalescent\, Yule or Birth-death tre
 e priors\, and calibration of the individual nodes in the time-tree leads 
 to estimation of the absolute age of other divergence times of interest. H
 ere I discuss difficulties and recent advances in the development of calib
 rated time-tree priors for Bayesian phylogenetic inference\, including cal
 culation of the marginal distribution of divergence times under various ti
 me-tree priors and a class of new time-tree priors based on a "Birth-death
  skyline" model of branching.\n
LOCATION:Seminar Room 1\, Newton Institute
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