Currently available methods for model selection used in phylogenetic analysis are based on
an initial fixed-tree topology. Once a model is picked based on this topology, a rigorous …

In order to have confidence in model-based phylogenetic analysis, the model of nucleotide
substitution adopted must be selected in a statistically rigorous manner. Several model …

Phylogenetic estimation has largely come to rely on explicitly model-based methods. This
approach requires that a model be chosen and that that choice be justified. To date …

The information criteria Akaike information criterion (AIC), AICc, and Bayesian information
criterion (BIC) are widely used for model selection in phylogenetics, however, their …

Almost all studies that estimate phylogenies from DNA sequence data under the maximum-
likelihood (ML) criterion employ an approximate approach. Most commonly, model …

▪ Abstract Investigation into model selection has a long history in the statistical literature. As
model-based approaches begin dominating systematic biology, increased attention has …

Statistical criteria have long been the standard for selecting the best model for phylogenetic
reconstruction and downstream statistical inference. Although model selection is regarded …

Background Explicit evolutionary models are required in maximum-likelihood and Bayesian
inference, the two methods that are overwhelmingly used in phylogenetic studies of DNA …

There are two paradigms for the phylogenetic analysis of multi-locus sequence data: one
which forces all genes to share the same underlying history, and another that allows genes …

Abstract Model selection is a topic of special relevance in molecular phylogenetics that
affects many, if not all, stages of phylogenetic inference. Here we discuss some fundamental …