### Alexander Alekseyenko

New York University

School of Medicine

October 2, 2014

Bayesian phylogenetics with BEAST

The theory of evolution is perhaps the only unifying theory in
biology. The systematic effect of the theory evolution is best
understood through phylogenetic reconstruction, which is a highly
complicated inverse inference problem involving parameters in both
discrete and continuous spaces. Phylogenetic inference based solely on
point estimates, such as maximum likelihood, suffer from biases, which
are best handled in the Bayesian context. In this talk, I will present
the problem of Bayesian phylogenetic inference and methods for model
selection. I will talk about the implementation of some of the
underlying models and algorithms in a popular phylogenetic
reconstruction software BEAST (Bayesian Evolutionary Analysis by
Sampling Trees).