par Bontempi, Gianluca 
;Le Borgne, Yann-Aël ;De Stefani, Jacopo
Référence 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), page (222-231)
Publication Publié, 2017-10
;Le Borgne, Yann-Aël ;De Stefani, Jacopo Référence 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), page (222-231)
Publication Publié, 2017-10
Publication dans des actes
| Titre: |
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| Auteur: | Bontempi, Gianluca; Le Borgne, Yann-Aël; De Stefani, Jacopo |
| Informations sur la publication: | 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), page (222-231) |
| Statut de publication: | Publié, 2017-10 |
| Sujet CREF: | Informatique générale |
| Mots-clés: | econometrics |
| economic forecasting | |
| economics | |
| learning (artificial intelligence) | |
| time series | |
| time series | |
| big data revolution | |
| IoT technology | |
| nonlinearity | |
| long forecasting horizon | |
| machine learning version | |
| Dynamic Factor Model | |
| DFML strategy | |
| nonlinear forecaster | |
| multistep-ahead strategy | |
| synthetic forecasting tasks | |
| real forecasting tasks | |
| Dynamic Factor machine learning method | |
| multivariate forecasting methods | |
| forecasting methodology | |
| Langue: | Anglais |
| Identificateurs: | info:doi/10.1109/DSAA.2017.1 |
