Using the bootstrap for statistical inference on random graphs

DOI10.1002/cjs.11271zbMath1357.62188arXiv1402.3647OpenAlexW1958020823MaRDI QIDQ5507344

Vyacheslav Lyubchich, Mary E. Thompson, Yulia R. Gel, Lilia L. Ramírez-Ramírez

Publication date: 19 December 2016

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

Full work available at URL: https://arxiv.org/abs/1402.3647

zbMATH Keywords

samplingbootstrapnetworksrandom graphsstatistical inferencegoodness-of-fitnonparametric methodsfinite-sample inference

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Random graphs (graph-theoretic aspects) (05C80) Nonparametric statistical resampling methods (62G09)

Related Items (5)

Edgeworth expansions for network moments ⋮ A conversation with Mary E. Thompson ⋮ Crawling subsampling for multivariate spatial autoregression model in large-scale networks ⋮ A motif building process for simulating random networks ⋮ Bias reduction in the population size estimation of large data sets

Uses Software

• SIMID

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