Statistics and Data Science Seminar
Sonja Petrovic
IIT
Random graphs and networks: estimation and modeling challenges
Abstract: The ubiquity of network data in the world around us does not imply that the
statistical modeling and fitting techniques have been able to catch up with
the demand. This talk will discuss some of the basic modeling questions
that every statistician knows are fundamental, some of the recent advances
toward answering them, and the challenges that remain. The specific focus of the talk will be on goodness of fit testing for
random graph models. Recent joint work with Despina Stasi and Elizabeth
Gross developed a new testing framework for graphs that is based on
combinatorics of hypergraphs and model geometry. I will summarize our work
by showing simulation results for the popular $p_1$ model for directed
random graphs.
Wednesday November 5, 2014 at 4:00 PM in SEO 636