University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Fitting block models with covariates:”Likelihood” methods ,sparsity and selection of the number of blocks

Fitting block models with covariates:”Likelihood” methods ,sparsity and selection of the number of blocks

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SNAW01 - Graph limits and statistics

Co-authors: Purna Sarkar (U. of Texas,Austin), Soumendu Mukherjee (U C, Berkeley), Sharmodeep Bhattacharyya, (Oregon State University)

We introduce block models with edge and block covariates ,along the lines of Hoff, Handcock,Raftery (2002) ,specializing to covariate forms of the types proposed by Zhao, Levina,Zhu(2014) and generalizing that of Newman ,Clauset(2015)..WE study mean field variational fitting in this situation along the lines of Celisse,Daudin,Pierre( 2011 ) and B.,Choi,Chang,Zhang (2013).Using theory,examples, and simulations we argue that these methods ,possibly regularized lead to models with a sparse number of blocks. 

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

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