Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/35204

alPCA:Anautomaticsoftwarefortheselectionandcombinationofforecasts in monthlyseries


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Title:
alPCA:Anautomaticsoftwarefortheselectionandcombinationofforecasts in monthlyseries
Authors:
GARCIA AROCA, CARLOS  
Martínez Mayoral, Mª Asunción  
Morales-Socuéllamos, Javier
Editor:
Elsevier
Department:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Issue Date:
2024-04
URI:
https://hdl.handle.net/11000/35204
Abstract:
alPCA is a software coded in R and designed to automatically combine predictions from a collection of individual forecasting methods that integrate it. It employs three categories of weights derived from the PCA scores, and decision rules to determine the optimal combination of these methods. alPCA serves as an automated component within the artificial intelligence toolkit for monthly time series processing with the objective of obtaining the best forecast.
Keywords/Subjects:
Forecasting
Time series
Forecasting combination
Principal component analysis
Knowledge area:
CDU: Ciencias puras y naturales: Generalidades sobre las ciencias puras
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.1016/j.simpa.2024.100644
Appears in Collections:
Artículos Estadística, Matemáticas e Informática



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