A comparison of GSTAR-SUR models and a hybrid GSTAR-SUR/neural network model on residuals of precipitation forecasting

DOI10.1080/03610918.2019.1615625zbMath1497.62237OpenAlexW2954957447WikidataQ127612289 ScholiaQ127612289MaRDI QIDQ5082739

Atiek Iriany, Arifin Arifin, Diana Rosyida

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1615625

zbMATH Keywords

autoregressivespace-time modelprecipitationWest Java

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

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• Time series forecasting using a hybrid ARIMA and neural network model
• Stationarity and invertibility regions for low order starma models

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