Forecasting High-Frequency River Level Series Using Double Switching Regression with ARMA Errors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-020-02733-y.pdf
Reference16 articles.
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3. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
4. Brockwell PJ, Davis RA (2006) Introduction to time series and forecasting. Springer, Berlin
5. Cebrián AC, Abaurrea J, Asín J, Segarra E (2019) Dynamic regression model for hourly river level forecasting under risk situations: an application to the Ebro river. Wat Res Manag 33:523–37
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1. A new integrated prediction method of river level based on spatiotemporal correlation;Stochastic Environmental Research and Risk Assessment;2023-12-05
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