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Technometrics Volume 64, 2022 - Issue 2
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Articles

Anomaly Detection in Large-Scale Networks With Latent Space Models

Wesley Leea Department of Statistics, University of Washington, Seattle, DC
,
Tyler H. McCormickb Department of Statistics and Department of Sociology, University of Washington, Seattle, DCCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6490-1129
ORCID Icon,
Joshua Neilc Microsoft, Redmond, WA
,
Cole Sodjac Microsoft, Redmond, WA
&
Yanran Cuia Department of Statistics, University of Washington, Seattle, DC
Pages 241-252 | Received 20 Jan 2020, Accepted 12 Jun 2021, Published online: 16 Dec 2021

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Bianca M. Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan & William H. Woodall. (2024) Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics 0:0, pages 1-24.
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Hao Wu, Qiao Liang & Kaibo Wang. (2023) Modeling and monitoring multilayer attributed weighted directed networks via a generative model. IISE Transactions 0:0, pages 1-13.
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Francesco Sanna Passino & Nicholas A. Heard. (2023) Mutually Exciting Point Process Graphs for Modeling Dynamic Networks. Journal of Computational and Graphical Statistics 32:1, pages 116-130.
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Articles from other publishers (3)

Guanhua Fang, Owen G. Ward & Tian Zheng. (2023) Online estimation and community detection of network point processes for event streams. Statistics and Computing 34:1.
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Qing He & Junjie Wang. (2023) Monitoring networks with overlapping communities based on latent mixed-membership stochastic block model. Expert Systems with Applications 229, pages 120432.
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Selena Wang & Jared Edgerton. (2022) Resilience to stress in bipartite networks: application to the Islamic State recruitment network. Journal of Complex Networks 10:4.
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