Sequential change diagnosis revisited and the Adaptive Matrix CuSum
Author:
Affiliation:
1. Department of Statistics, University of Illinois Urbana-Champaign, Urbana, U.S.A
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Reference57 articles.
1. Hinkley, D.V. (1970). Inference about the change-point in a sequence of random variables. Biometrika 57 1–17. 10.1093/biomet/57.1.1
2. Tartakovsky, A., Nikiforov, I. and Basseville, M. (2015). Sequential Analysis: Hypothesis Testing and Changepoint Detection. Monographs on Statistics and Applied Probability 136. Boca Raton, FL: CRC Press.
3. Gösmann, J., Stoehr, C., Heiny, J. and Dette, H. (2022). Sequential change point detection in high dimensional time series. Electron. J. Stat. 16 3608–3671. 10.1214/22-ejs2027
4. Bakhache, B. and Nikiforov, I. (1999). Reliable detection of faults in navigation systems. In Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No. 99CH36304) 5 4976–4981. IEEE.
5. Bissell, A. (1969). Cusum techniques for quality control. J. R. Stat. Soc. Ser. C. Appl. Stat. 18 1–25.
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