# A framework for imperfectly observed networks

Presented by:
David Aldous University of California
Date:
Tuesday 12th July 2016 - 09:00 to 09:30
Venue:
INI Seminar Room 1
Abstract:

Model a network as an edge-weighted graph, where the (unknown) weight $w_e$ of edge $e$ indicates the frequency of observed interactions, that is over time $t$ we observe a Poisson($t w_e$) number of interactions across edges $e$.  How should we estimate some given statistic of the underlying network?   This leads to wide-ranging and challenging problems.

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