Forecasting comparisons using a hybrid ARFIMA and LRNN models

DOI10.1080/03610918.2017.1341529OpenAlexW2709219059MaRDI QIDQ5085026

Augustine Pwasong, Saratha Sathasivam

Publication date: 29 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2017.1341529

zbMATH Keywords

neural networkautoregressiveBayesian model averagingmean absolute errorroot mean square error and forecasting

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Series hybridization of parallel (SHOP) models for time series forecasting

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• Bayesian Model Averaging for Linear Regression Models
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• A method for the solution of certain non-linear problems in least squares

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