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A framework for imperfectly observed networks

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SNAW01 - Graph limits and statistics

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.

This talk is part of the Isaac Newton Institute Seminar Series series.

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