Likelihood Inference for Large Scale Stochastic Blockmodels With Covariates Based on a Divide-and-Conquer Parallelizable Algorithm With Communication

DOI10.1080/10618600.2018.1554486OpenAlexW2963049114WikidataQ90599253 ScholiaQ90599253MaRDI QIDQ3391269

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Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6781626

zbMATH Keywords

social networksubsamplingMonte Carlo EMcase-control approximationparallel computation with communication

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Bayesian testing for exogenous partition structures in stochastic block models ⋮ Spectral Estimation of Large Stochastic Blockmodels with Discrete Nodal Covariates ⋮ Joint Latent Space Model for Social Networks with Multivariate Attributes

Uses Software

• HOGWILD

Cites Work

• Unnamed Item
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