ArticleGenetics2007
Postprocessing of genealogical trees.
Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model.PLoS computational biology · 2025Article
- Article
- A scalable analytical approach from bacterial genomes to epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Genomic Infectious Disease Epidemiology in Partially Sampled and Ongoing Outbreaks.Molecular biology and evolution · 2017Article
- Article
- Likelihood-based inference in isolation-by-distance models using the spatial distribution of low-frequency alleles.Evolution; international journal of organic evolution · 2009Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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