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A framework for imperfectly observed networks

Presented by: 
David Aldous University of California
Tuesday 12th July 2016 - 09:00 to 09:30
INI Seminar Room 1
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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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons