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Tue Herlau

2 accepted papers

2016

Completely random measures for modelling block-structured sparse networks

NeurIPS 2016poster

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. These assumptions are however incompatible with traits found in real-…

Cited by 56SourcePDFScholar