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Weighted stochastic block model
We propose a weighted stochastic block model (WSBM) which extends the stochastic block model to the important case in which edges are weighted. We address the parameter estimation of the WSBM by use of maximum likelihood and variational approaches, and establish the consistency of these estimators....
Autores principales: | Ng, Tin Lok James, Murphy, Thomas Brendan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608781/ https://www.ncbi.nlm.nih.gov/pubmed/34840548 http://dx.doi.org/10.1007/s10260-021-00590-6 |
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