Air transportation demand forecast through Bagging Holt Winters methods
By T. Dantas, F. C. Oliveira, Hugo M. Repolho. 2017
111 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bb8fb5f376465b4bf0a65e8f8fa20b4ba0a2be88
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Fotios Petropoulos
- Christoph Bergmeir
- Spyros Makridakis
- Nikolaos Kourentzes
- Vassilios Assimakopoulos
- Devon K. Barrow
- Yanfei Kang
- Feng Li
In Management Science and Operations Research
- Fotios Petropoulos
- Rob J Hyndman
- Konstantinos Nikolopoulos
- Nikolaos Kourentzes
- Vassilios Assimakopoulos
- Spyros Makridakis
- Evangelos Spiliotis
- Christoph Bergmeir
In Statistics and Probability
- Konstantinos Nikolopoulos
- Vassilios Assimakopoulos
- Nikolaos Kourentzes
- Fotios Petropoulos
- Evangelos Spiliotis
- Spyros Makridakis
- Christoph Bergmeir
- Stephan Kolassa
Citations in the corpus
- Forecasting: theory and practice (2020, methodology): “r the final aggregation, the authors adopted the median. Their method is evaluated on the M3 data set and outperformed the original benchmarks. The work of Bergmeir et al. (2016) inspired many others: Dantas et al. (2017) applied the idea for air transport demand data and de Oliveira and Cyrino Olive”