Completely random measures for modelling block-structured sparse networks

Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Neural Information Processing Systems 

Statistical methods for network data often parameterize the edge-probability by attributing latent traits such as block structure to the vertices and assume exchangeability in the sense of the Aldous-Hoover representation theorem.

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