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Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
Hierarchical Models in Molecular Evolution
Erik Bloomquist
Mathematical Bioscience Institute
3:30PM - Thursday, October 1, 2009
Room 170, Eighteenth Avenue Bldg. (EA 170)
ABSTRACT
Bayesian hierarchical modeling pervades modern statistical research.
In this talk, I will discuss several examples of these models in
molecular evolution. The first two will touch on 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. I will also
describe applications of these models to obesity research in humans
and population structure in wolves. After this, I will describe a
hierarchical model that compares population dynamic characteristics of
large North American mammal populations.
Meet the speaker in Room 212 Cockins Hall at 4:30
p.m. Refreshments will be served.
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