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Trek separation in Gaussian graphical models

Algebra & Discrete Mathematics

Speaker: Kelli Talaska, UC Berkeley
Location: 1147 MSB
Start time: Fri, Nov 12 2010, 2:10PM

This talk will explore a connection between combinatorics and algebraic statistics. In particular, we will look at Gaussian graphical models, whose covariance matrices can be given in terms of certain path families called treks. Inspired by classical results in algebraic combinatorics, we develop a graph-theoretic criterion for determining the rank of a submatrix of the covariance matrix. (No prior knowledge in statistics will be assumed.) This is based on joint work with Seth Sullivant and Jan Draisma.