Hierarchical Models in Molecular Evolution
Erik Bloomquist (Mathematical Biosciences Institute, The Ohio State University)
(January 14, 2010 10:30 AM - 11:18 AM)
Bayesian hierarchical modeling pervades modern statistical research. In this talk, I will discuss two examples of these models in molecular evolution. The first describes the problem of non-vertical evolution and how to adequately model this process in a formal statistical framework. In particular, I will describe methods to hierarchically model branch length and topological incongruence between vertical trees inferred from multiple loci. After this, I will describe a hierarchical model to infer the population dynamic characteristics of large North American mammal populations.