A practical two-sample test for weighted random graphs

DOI10.1080/02664763.2021.1884847arXiv2101.12492OpenAlexW3128795396MaRDI QIDQ6157128

Qian Wen, Mingao Yuan

Publication date: 19 June 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.12492

zbMATH Keywords

weighted graphrandom graphtwo-sample hypothesis test

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

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Cites Work

• Pseudo-likelihood methods for community detection in large sparse networks
• A nonparametric two-sample hypothesis testing problem for random graphs
• Network classification with applications to brain connectomics
• Hypothesis testing for network data in functional neuroimaging
• Community Detection and Stochastic Block Models
• Learning latent block structure in weighted networks
• Test dense subgraphs in sparse uniform hypergraph
• Hypothesis Testing for Automated Community Detection in Networks
• A goodness-of-fit test for stochastic block models

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