Author: de Silva, Eric; Ferguson, Neil M.; Fraser, Christophe
Title: Inferring pandemic growth rates from sequence data Document date: 2012_8_7
ID: 1piyoafd_52
Snippet: While sampling density and the sampling of epidemiologically linked sequences both bias estimates of changes in effective population size, use of the Bayesian coalescent methodology results in a more notable bias in non-parametric estimates of changes in population size associated with the fact that for an exponentially growing genealogy, the density of coalescent events thins some considerable time before the latest sequence collection date......
Document: While sampling density and the sampling of epidemiologically linked sequences both bias estimates of changes in effective population size, use of the Bayesian coalescent methodology results in a more notable bias in non-parametric estimates of changes in population size associated with the fact that for an exponentially growing genealogy, the density of coalescent events thins some considerable time before the latest sequence collection date.
Search related documents:
Co phrase search for related documents- coalescent event and effective population size: 1, 2, 3, 4, 5
- coalescent event and effective population size change: 1
- coalescent event and population size: 1, 2, 3, 4, 5
- considerable time and population size: 1
- effective population size and non parametric estimate: 1
Co phrase search for related documents, hyperlinks ordered by date