New Consistent and Asymptotically Normal Parameter Estimates for Random-Graph Mixture Models

DOI10.1111/j.1467-9868.2011.01009.xzbMath1411.62051arXiv1003.5165OpenAlexW1826795462MaRDI QIDQ4632663

Christophe Ambroise, Catherine Matias

Publication date: 30 April 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1003.5165

zbMATH Keywords

random graphmixture modelcomposite likelihoodstochastic block model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Random graphs (graph-theoretic aspects) (05C80)

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