Related Experiment Video
Updated: Feb 18, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
P3: Phylogenetic Posterior Prediction in RevBayes
Sebastian Höhna1,2, Lyndon M Coghill3, Genevieve G Mount3
1Division of Evolutionary Biology, Ludwig-Maximilians-Universität, München, Germany.
Abstract:
Tests of absolute model fit are crucial in model-based inference because poorly structured models can lead to biased parameter estimates. In Bayesian inference, posterior predictive simulations can be used to test absolute model fit. However, such tests have not been commonly practiced in phylogenetic inference due to a lack of convenient and flexible software. Here, we describe our newly implemented tests of model fit using posterior predictive testing, based on both data- and inference-based test statistics, in the phylogenetics software RevBayes. This new implementation makes a large spectrum of models available for use through a user-friendly and flexible interface.
Related Concept Videos
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Evolutionary Relationships through Genome Comparisons
Phylogeny
Phylogenetic Trees
Predicting Reaction Outcomes
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...

