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Lecture: Statistics for Re-identification in Networked Data Models
Friday, February 24, 2012 - 3:15pm

The Maseeh Mathematics and Statistics Colloquium Series*

Kobi Abayomi
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