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Statistics for re-identification in networked data models

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Kobi Abayomi, Georgia Tech

What
  • Colloquium
When Wed, Mar 09, 2011
from 03:15 PM to 04:15 PM
Where Ritter 121
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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.

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