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Journal of the American Statistical Association Volume 114, 2019 - Issue 525
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Theory and Methods

Changepoint Detection in the Presence of Outliers

Paul FearnheadDepartment of Mathematics and Statistics, Lancaster University, Lancaster, UKORCID Iconhttp://orcid.org/0000-0002-9386-2341View further author information
ORCID Icon &
Guillem RigaillInstitute of Plant Sciences Paris-Saclay, UMR 9213/UMR1403, CNRS, INRA, Université Paris-Sud, Université d’Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Paris, France;Laboratoire de Mathématiques at Modélisation d’Evry (LaMME), Université d’Evry Val d’Essonne, UMR CNRS 8071, ENSIIE, USC INRA, Paris, FranceView further author information
Pages 169-183 | Received 01 Oct 2016, Published online: 28 Jun 2018

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Zifeng Zhao, Ting Fung Ma, Wai Leong Ng & Chun Yip Yau. (2024) A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes. Journal of the American Statistical Association 0:0, pages 1-15.
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Alexander T. M. Fisch, Idris A. Eckley & Paul Fearnhead. (2022) Subset Multivariate Collective and Point Anomaly Detection. Journal of Computational and Graphical Statistics 31:2, pages 574-585.
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Zifeng Zhao & Chun Yip Yau. (2021) Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation. Journal of Computational and Graphical Statistics 30:3, pages 808-821.
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Yunlong Wang, Zhaojun Wang & Xuemin Zi. (2020) Rank-based multiple change-point detection. Communications in Statistics - Theory and Methods 49:14, pages 3438-3454.
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Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith & Martin Spott. (2019) Most Recent Changepoint Detection in Panel Data. Technometrics 61:1, pages 88-98.
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