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Journal of Computational and Graphical Statistics Volume 31, 2022 - Issue 2

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Statistical Tests and Modeling

Subset Multivariate Collective and Point Anomaly Detection

Alexander T. M. FischDepartment of Mathematics and Statistics, Lancaster University, Lancaster, UKView further author information

Idris A. EckleyDepartment of Mathematics and Statistics, Lancaster University, Lancaster, UK

https://orcid.org/0000-0001-9957-2460 View further author information

Paul FearnheadDepartment of Mathematics and Statistics, Lancaster University, Lancaster, UKCorrespondence[email protected]

https://orcid.org/0000-0002-9386-2341 View further author information

Pages 574-585 | Received 08 Oct 2020, Accepted 24 Sep 2021, Published online: 19 Nov 2021

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https://doi.org/10.1080/10618600.2021.1987257
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Articles from other publishers (5)

Karl L. Hallgren, Nicholas A. Heard & Melissa J. M. Turcotte. (2023) Changepoint Detection on a Graph of Time Series. Bayesian Analysis -1:-1.
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Kongjing Gu, Liang Yan, Xiang Li, Xiaojun Duan & Jingjie Liang. (2022) Change point detection in multi-agent systems based on higher-order features. Chaos: An Interdisciplinary Journal of Nonlinear Science 32:11.
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Alexander T. M. Fisch, Lawrence Bardwell & Idris A. Eckley. (2022) Real time anomaly detection and categorisation. Statistics and Computing 32:4.
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Alexander T. M. Fisch, Idris A. Eckley & Paul Fearnhead. (2022) A linear time method for the detection of collective and point anomalies. Statistical Analysis and Data Mining: The ASA Data Science Journal 15:4, pages 494-508.
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Martin Tveten, Idris A. Eckley & Paul Fearnhead. (2022) Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring. The Annals of Applied Statistics 16:2.
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