Abstract: Bayesian Discrete phylogeography considers the sampling location of each taxon as fixed to a single or small number of locations without observation error (i.e. uncertainty). In this work, we relaxed this strong assumption and allow for analytic integration of observation error to evaluate the likelihood of the spatial process. We evaluate the use of observation error against more traditional approaches for studying the ancestral state reconstruction of a virus along a phylogeny.

Learning Objective 1: To understand the use of observation error for Bayesian discrete phylogeography


Matthew Scotch (Presenter)
University of Pennsylvania

Tasnia Tahsin, University of Pennsylvania
Davy Weissenbacher, University of Pennsylvania
Karen O'Connor, University of Pennsylvania
Arjun Magge, Arizona State University
Marc Suchard, University of California, Los Angeles
Graciela Gonzalez, University of Pennsylvania

Presentation Materials: