Nonlinear Segmental Runoff Ensemble Prediction Model Using BMA
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11269-024-03824-w.pdf
Reference27 articles.
1. Ahsan S, Bhat MS, Alam A, Farooq H, Shiekh HA (2023) Complementary use of multi-model climate ensemble and Bayesian Model Averaging for projecting river hydrology in the Himalaya. Environ Sci Pollut Res 30(13):38898–38920
2. Ai P, Song Y, Xiong C, Chen B, Yue Z (2022) A novel medium-and long-term runoff combined forecasting model based on different lag periods. J Hydroinf 242:367–387
3. Amiri E (2015) Forecasting daily river flows using nonlinear time series models. J Hydrol 527:1054–1072
4. Bahrami S, Hajian-Tilaki K, Bayani M, Chehrazi M, Mohamadi-Pirouz Z, Amoozadeh A (2023) Bayesian model averaging for predicting factors associated with length of COVID-19 hospitalization. BMC Med Res Methodol 23(1):163
5. Baran S, Lerch S (2018) Combining predictive distributions for the statistical post-processing of ensemble forecasts. Int J Forecast 343:477–496
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