3   Artículos

 
en línea
Evangelos Spiliotis, Fotios Petropoulos and Vassilios Assimakopoulos    
Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation, among others. Although the ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Anastasios Kaltsounis, Evangelos Spiliotis and Vassilios Assimakopoulos    
We present a machine learning approach for applying (multiple) temporal aggregation in time series forecasting settings. The method utilizes a classification model that can be used to either select the most appropriate temporal aggregation level for prod... ver más
Revista: Algorithms    Formato: Electrónico

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