Understanding the evolutionary history of species is at the core of molecular evolution and is done using several inference methods. The critical issue is to quantify the uncertainty of the inference.
Maximum likelihood estimation (MLE) was obtained for combinations of molecular clocks and demographic models using the Path sampling (PS) and Stepping-stone (SS) sampling and compared using Bayes Fact
Posterior distribution quantile summaries for BNPR-PS with no covariates (model: {γ(t)}, first row) and BNPR-PS with an ordinary covariate (model: {γ(t), −t}, second and third rows).
