PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Jason Morton, Manfred Denker.

Title:Identifiable Gaussian Graphical Models
Seminar:Seminar on Probability and its Application
Speaker:Seth Sullivant, North Carolina State University
A Gaussian graphical model is a statistical model that uses a graph to encode linear relationships between a collection of random variables. These linear relationships determine a positive definite covariance matrix whose entries are polynomials in certain parameters associated to the edges of the graph. The edge parameters are identifiable if they can be recovered from the covariance matrix. I will discuss recent results, where we employ techniques from computational algebra and algebraic combinatorics to make progress on the identifiability problem. Algebraic background will be kept a minimum. This is joint work with Mathias Drton, Rina Foygel, Luis Garcia, and Sarah Spiegelvogel.

Room Reservation Information

Room Number:MB106
Date:11 / 12 / 2010
Time:02:30pm - 03:25pm