Forecasting for big data: Does suboptimality matter?

Traditionally, forecasters focus on the development algorithms to identify optimal models and sets of parameters, optimal in the sense of within-sample fitting. However, this quest strongly assumes that optimally set parameters will also give the best extrapolations. The problem becomes even more pe...

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Veröffentlicht in:	Computers & operations research 2018-10, Vol.98, p.322-329
Hauptverfasser:	Nikolopoulos, Konstantinos, Petropoulos, Fotios
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Big Data Data management Forecasting Operations research Optimisation Optimization Parameter identification Retail Retailing Studies
Online-Zugang:	Volltext
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