UK WILDCATS Seminar
845 PATTERSON OFFICE TOWER
"Identifiable structural equation models"
North Carolina State University
Monday, March 1, 2010
4:00 pm, 845 POT
A structural equation 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. This is
joint work with Mathias Drton, Rina Foygel, Luis Garcia, and Sarah