Abstract:
:We consider inference for demographic models and parameters based upon postprocessing the output of an MCMC method that generates samples of genealogical trees (from the posterior distribution for a specific prior distribution of the genealogy). This approach has the advantage of taking account of the uncertainty in the inference for the tree when making inferences about the demographic model and can be computationally efficient in terms of reanalyzing data under a wide variety of models. We consider a (simulation-consistent) estimate of the likelihood for variable population size models, which uses importance sampling, and propose two new approximate likelihoods, one for migration models and one for continuous spatial models.
journal_name
Geneticsjournal_title
Geneticsauthors
Meligkotsidou L,Fearnhead Pdoi
10.1534/genetics.107.071910subject
Has Abstractpub_date
2007-09-01 00:00:00pages
347-58issue
1eissn
0016-6731issn
1943-2631pii
genetics.107.071910journal_volume
177pub_type
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