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Abstract Details

Activity Number: 50
Type: Invited
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #303638
Title: Statistical Inference on Networks
Author(s): Peter Bickel*+
Companies: University of California at Berkeley
Address: UC Berkeley, Berkeley, CA, 94720,
Keywords: unlabelled graphs,networks,inference,motifs,bootstrap ; asymptotic ; block models

We consider from the asymptotic point of view of Bickel and Chen (2009) a number of inferential problems on unlabelled and covariate labeled graphs.These will be selected from: 1.Fitting a parametric model using moment statistics, 2.Determining the order of a block model 3.Novel schemes for fitting block and degree corrected block models Selected applications will be presented.

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