Bayesian 50% majority-rule consensus trees from 6002 trees generated by Bayesian inference with MrBayes for tribe Eudemeae and the concatenated trnLF + trnH-psbA datasets.
Bayesian inference with a large dataset is computationally intensive, as Markov chain Monte Carlo simulation requires a complete scan of the dataset for each proposed parameter update. To reduce the n
This article outlines a Bayesian methodology to estimate and test the Kendall rank correlation coefficient τ. The nonparametric nature of rank data implies the absence of a generative model and the la
Models with intractable normalizing functions arise frequently in statistics. Common examples of such models include exponential random graph models for social networks and Markov point processes for
Supplementary data for burnin estimation and convergence assessment in Bayesian phylogenetic inference. The repository contains the complete raw data, properties, excel sheets and convergence estimate