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A comparative power analysis of the maximum degree and size invariants for random graph inference

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Publication:607231
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DOI10.1016/J.JSPI.2010.09.013zbMath1353.05113OpenAlexW1988789570MaRDI QIDQ607231

Andrey Rukhin, Carey E. Priebe

Publication date: 19 November 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.09.013


zbMATH Keywords

statistical inferencecomparative power analysisErdős-Rényi random graphs


Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Random graphs (graph-theoretic aspects) (05C80)


Related Items (2)

A latent process model for time series of attributed random graphs ⋮ Betti numbers of graphs with an application to anomaly detection




Cites Work

  • Unnamed Item
  • Estimation and Prediction for Stochastic Blockstructures
  • Paths in graphs




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