Cargando…
Highly scalable maximum likelihood and conjugate Bayesian inference for ERGMs on graph sets with equivalent vertices
The exponential family random graph modeling (ERGM) framework provides a highly flexible approach for the statistical analysis of networks (i.e., graphs). As ERGMs with dyadic dependence involve normalizing factors that are extremely costly to compute, practical strategies for ERGMs inference genera...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417041/ https://www.ncbi.nlm.nih.gov/pubmed/36018834 http://dx.doi.org/10.1371/journal.pone.0273039 |