Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
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- Maria Victoria Ibañez & Marina Martínez-Garcia & Amelia Simó, 2021. "A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data," Mathematics, MDPI, vol. 9(13), pages 1-23, July.
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More about this item
Keywords
COVID-19; outbreak; second wave; Italy; hybrid forecasting models; ARIMA; ETS; NNAR.;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-11-16 (Big Data)
- NEP-CMP-2020-11-16 (Computational Economics)
- NEP-ETS-2020-11-16 (Econometric Time Series)
- NEP-FOR-2020-11-16 (Forecasting)
- NEP-ORE-2020-11-16 (Operations Research)
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