RevBayes: Bayesian Phylogenetic Inference using Probabilistic Graphical Models and an Interactive Modeling Language

RevBayes: Bayesian Phylogenetic Inference using Probabilistic Graphical Models and an Interactive Modeling Language

Neyman Seminar
Oct 1, 2014, 01:00 PM - 02:00 PM | 1011 Evans Hall | Happening As Scheduled
Sebastian Hohna, UC Berkeley (Speaker)
RevBayes is a computational framework for Bayesian phylogenetic inference. It is inspired by R and BUGS but focusing phylogeny problems. The aim of RevBayes is to provide tools and methods for flexible assembly of probabilistic graphical models in statistical phylogenetics. In this talk I will present how a phylogenetic model is represented as graphical model. The main components of the...