Time Series Clustering Based on Forecast Distributions: An Empirical Analysis on Production Indices for Construction
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30164-3_7
Reference19 articles.
1. Aghabozorgi, S., Shirkhorshidi, A. S., & Wah, T. Y. (2015). Time-series clustering-a decade review. Information Systems, 53, 16–38.
2. Alonso, A. M., Berrendero, J. R., Hernández, A., & Justel, A. (2006). Time series clustering based on forecast densities. Computational Statistics & Data Analysis, 51(2), 762–776.
3. Anders, U., & Korn, O. (1999). Model selection in neural networks. Neural Networks, 12, 309–323.
4. Aslan, S., Yozgatligil, C., & Iyigun, C. (2018). Temporal clustering of time series via threshold autoregressive models: application to commodity prices. Annals of Operations Research, 260, 51–77.
5. Bergmeir, C., Hyndman, R. J., & Koo, B. (2018). A note on the validity of cross-validation for evaluating autoregressive time series prediction. Computational Statistics & Data Analysis, 120, 70–83.
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