A neural network approach for the Theta model
By Christina C. Constantinidou, Konstantinos Nikolopoulos, Nikolaos Bougioukos, Eirini Tsiafa, Fotios Petropoulos, Vassilios Assimakopoulos. 2012
6 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Evangelos Spiliotis
- Konstantinos Nikolopoulos
- Vassilios Assimakopoulos
- Fotios Petropoulos
- Spyros Makridakis
- Rob J Hyndman
- Boris N. Oreshkin
- Alexei Botchkarev
Citations in the corpus
- Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors (2018, methodology): “We note that for reasons of simplicity and direct comparison, the Theta coefficient is set equal to 2 for all the models examined, although as reported earlier, one could possibly produce improved forecasts through its optimization (Constantinidou et al., 2012).”