Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series

Author:

Du HaizhouORCID,Zheng Yang

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Adams, R.P., MacKay, D.J.: Bayesian online changepoint detection. arXiv preprint arXiv:0710.3742 (2007)

2. Agudelo-Espaa, D., Gomez-Gonzalez, S., Bauer, S., Schlkopf, B., Peters, J.: Bayesian online prediction of change points (2019)

3. Ahmadi, F., Nazeri Tahroudi, M., Mirabbasi, R., Khalili, K., Jhajharia, D.: Spatiotemporal trend and abrupt change analysis of temperature in Iran. Meteorol. Appl. 25(2), 314–321 (2018)

4. Alami, R., Maillard, O., Féraud, R.: Restarted Bayesian online change-point detector achieves optimal detection delay. In: International Conference on Machine Learning, pp. 211–221. PMLR (2020)

5. Camci, F.: Change point detection in time series data using support vectors. Int. J. Pattern Recogn. Artif. Intell. 24(01), 73–95 (2010)

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