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Detecting the emergence of abrupt property changes in time series is a challenging problem.
Detection of abrupt changes: theory and application
Michèle Basseville, Igor V Nikiforov, et al · 1993
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The marginalized likelihood ratio test for detecting abrupt changes
Fredrik Gustafsson · 1996
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Adaptive filtering and change detection
Fredrik Gustafsson and Fredrik Gustafsson · 2000
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A unifying framework for detecting outliers and change points from non-stationary time series data
Kenji Yamanishi and Jun-ichi Takeuchi · 2002
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Joaquin Quinonero Candela, Agathe Girard, Jan Larsen, and Carl Edward Rasmussen · 2003
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One-class novelty detection for seizure analysis from intracranial eeg
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Automatic outlier detection for time series: an application to sensor data
Sabyasachi Basu and Martin Meckesheimer · 2007
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A kernel method for the two-sample-problem
Arthur Gretton, Karsten M Borgwardt, Malte Rasch, Bernhard Schölkopf, and Alex J Smola · 2007
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Change-point detection in time-series data based on subspace identification
Yoshinobu Kawahara, Takehisa Yairi, and Kazuo Machida · 2007
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Jaxk Reeves, Jien Chen, Xiaolan L Wang, Robert Lund, and Qi Qi Lu · 2007
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Anomaly detection: A survey
Varun Chandola, Arindam Banerjee, and Vipin Kumar · 2009
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Kernel change-point analysis
Zaid Harchaoui, Eric Moulines, and Francis R Bach · 2009
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Gaussian process change point models
Yunus Saatçi, Ryan Turner, and Carl Edward Rasmussen · 2010
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Non-parametric change-point method for differential gene expression detection
Yao Wang, Chunguo Wu, Zhaohua Ji, Binghong Wang, and Yanchun Liang · 2011
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Box and jenkins: time series analysis, forecasting and control
George Box · 2013
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Nonparametric methods in change point problems
E Brodsky and Boris S Darkhovsky · 2013
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Change-point detection in time-series data by relative density-ratio estimation
Song Liu, Makoto Yamada, Nigel Collier, and Masashi Sugiyama · 2013
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Generative models and model criticism via optimized maximum mean discrepancy
Dougal J Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alex Smola, and Arthur Gretton · 2017
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Real-time financial surveillance via quickest change-point detection methods
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Deep kernel learning
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Classifier two-sample test for video anomaly detections
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