Time

Nov 6 2007 - 1:30pm - 2:30 pm

Location

Jennings Hall, Room 355

Speaker

Seth Sullivant (Harvard University)

Seminar Website

http://www.mbi.osu.edu/sciprograms/seminars.html#tss

Abstract

Many statistical models have algebraic structure in that they are defined either parametrically or implicitly by polynomial conditions on a natural parameter space. These algebraic statistical models are ubiquitous in statistics and the algebraic structure can often be exploited to answer statistical or probabilistic questions. I will try to illustrate these two points with examples of Gaussian conditional independence models, conditional inference for log-linear models, and algebraic invariants of phylogenetic models.

This seminar will be part of the MBI Lecture Series, held in Jennings Hall, Room 355. Also note that the speaker will also be giving another lecture on algebraic statistics in the Algebraic Geometry Seminar at 4:30pm.