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Large-scale estimation of random graph models with local dependence
A class of random graph models is considered, combining features of exponential-family models and latent structure models, with the goal of retaining the strengths of both of them while reducing the weaknesses of each of them. An open problem is how to estimate such models from large networks. A nov...
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| Publicado no: | Comput Stat Data Anal |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier B.V.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7282802/ https://ncbi.nlm.nih.gov/pubmed/32834264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2020.107029 |
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