The Maseeh Mathematics and Statistics Colloquium Series*
School of Industrial and Systems Engineering, Georgia Tech
Statistics for re-identification in networked data models
Abstract: Re-identification in networked data models involves testing procedures for the identification of similar observations. We consider this testing problem from first principles: we derive probability distributions for a version of a similarity score for three well known network data models. Our method is unique in that it suggests a sufficiency property for (at least) these distributions, an unexplored area of network/graphical modeling.
Friday, February 24th, 2012 at 3:15pm
Neuberger Hall room 454
(Refreshments served at 3:00 Neuberger Hall room 344)
* Sponsored by the Maseeh Mathematics and Statistics Colloquium Series Fund and the Fariborz Maseeh Department of Mathematics & Statistics, PSU. This event is free and open to the public