Over the past decade, a new set of methods for estimating dated trees has emerged.
Originally referred to as the fossilized birth–death (FBD) process, this single model has …

Complex statistical methods are continuously developed across the fields of ecology,
evolution, and systematics (EES). These fields, however, lack standardized principles for …

Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent
years with major new advances in nearly all aspects of the joint modelling of evolutionary …

Statistical phylogenetic methods are the foundation for a wide range of evolutionary and
epidemiological studies. However, as these methods grow increasingly complex, users often …

Reconstructing the evolutionary history of different groups of organisms provides insight into
how life originated and diversified on Earth. Phylogenetic trees are commonly used to …

Abstract Model selection aims to choose the most adequate model for the statistical analysis
at hand. The model must be complex enough to capture the complexity of the data but …

Poor fit between models of sequence or trait evolution and empirical data is known to cause
biases and lead to spurious conclusions about evolutionary patterns and processes …

Bayesian coalescent skyline plot models are widely used to infer demographic histories. The
first (non-Bayesian) coalescent skyline plot model assumed a known genealogy as data …

A major goal of evolutionary biology is to identify key evolutionary transitions that
correspond with shifts in speciation and extinction rates. Stochastic character map** has …

Many fields of evolutionary biology now depend on stochastic mathematical models. These
models are valuable for their ability to formalize predictions in the face of uncertainty and …