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Table 2 Bayesian parameter estimates

From: Fully Bayesian tests of neutrality using genealogical summary statistics

Data Set Demographic Model log P(D|M)1 N e τ (years) r 2 μ 3 α 4 κ t MRCA (years)
Brown bear
(d-loop)
Constant* -2200 113,800 - 5.68 × 10-7 0.243 41.8 153,500
  Exp. growth -2198 127,000 5.45 × 10-6 5.95 × 10-7 0.243 41.7 145,100
HRSV
(g gene)
Constant* -6068 36.3 - 0.00242 0.900 12.4 56.1
  Exp. growth -6070 53.0 0.0263 0.00239 0.900 12.4 55.8
Dengue-4
(E gene)
Constant -3960 11.2 - 0.000976 0.167 17.3 19.7
  Exp. growth* -3952 38.9 0.134 0.00096 0.167 17.2 19.0
Influenza A
(HA)
Constant* -4386 4.3 - 0.00503 0.332 5.49 19.0
  Exp. growth -4383 7.25 0.0681 0.00506 0.332 5.5 18.9
  1. Posterior parameter estimates from the MCMC analyses. The effective population size is reported only as a product with generation time (N e τ) and the compound parameter has unit of years for virus data sets and radiocarbon years for the brown bear data set. Posterior means are reported for all model parameters. For each data set, the demographic model chosen by a Bayes factor is marked (*). 1marginal likelihood, 2exponential growth rate, 3substitution rate, 4shape parameter of the Γ-distribution.