An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic-Reference-Cited by-同舟云学术

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An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic

Published:2022-10 Issue: Volume:128 Page:109422
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ashofteh Afshin,Bravo Jorge M.,Ayuso Mercedes

Funder

Ministerio de Ciencia e Innovación

National Institute of Science and Technology National Institute of Photonics Applied to Cell Biology

Fundação para a Ciência e a Tecnologia

Generalitat de Catalunya

Publisher

Elsevier BV

Subject

Software

Reference59 articles.

1. Introduction to Time Series Analysis and Forecasting;Montgomery,2015

2. Some theoretical results on forecast combinations;Chan;Int. J. Forecast.,2018

3. A comparative study for predictive monitoring of COVID-19 pandemic;Fatimah;Appl. Soft Comput.,2022

4. The combination of forecasts;Bates;J. Oper. Res. Soc.,1969

5. 2.5 And PM10 forecasting using linear and nonlinear modeling framework based on robust local mean decomposition and moving window ensemble strategy;Wang;Appl. Soft Comput.,2022

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