Special Colloquium
Seth Sullivant
Harvard University
Algebraic Statistics
Abstract: Algebraic statistics advocates algebraic geometry as a
useful language for discussing statistical and probabilistic problems.
The starting point is the observation that many statistical models are
described by algebraic constraints or parametrizations. I will try to
illustrate this connection with some examples including Guassian
conditional independence models, log-linear models, and phylogenetic
models.
There will be coffee, tea and cookies in SEO 300 from 4:00 to 4:30. Stop by to meet Seth Sullivant.
Friday December 14, 2007 at 3:00 PM in SEO 636