Annexe B : Références

Januschowski, Tim et Kolassa, Stephan. A classification of business forecasting problems. Foresight: The International Journal of Applied Forecasting. 2019

Salinas, David, Flunkert, Valentin, Gasthaus, Jan et Januschowski, Tim. DeepAR: Probabilistic forecasting with autoregressive recurrent networks. International Journal of Forecasting. 2019

Gasthaus, Jan, Benidis, Konstantinos, Wang, Yuyang, Rangapuram, Syama Sundar, Salinas, David, Flunkert, Valentin et Januschowski, Tim. {Probabilistic Forecasting with Spline Quantile Function RNNs. La 22e conférence internationale sur l'intelligence artificielle et les statistiques. 2019

Januschowski, Tim, Gasthaus, Jan, Wang, Yuyang, Salinas, David, Flunkert, Valentin, Bohlke-Schneider, Michael et Callot, Laurent. Criteria for classifying forecasting methods. International Journal of Forecasting. 2019 (Connexion requise)

Januschowski, Tim, Gasthaus, Jan, Wang, Yuyang, Rangapuram, Syama et Callot, Laurent. Deep Learning for Forecasting. Foresight: The International Journal of Applied Forecasting. 2018

Januschowski, Tim, Gasthaus, Jan, Wang, Yuyang, Rangapuram, Syama Sundar et Callot, Laurent. Deep Learning for Forecasting: Current Trends and Challenges. Foresight: The International Journal of Applied Forecasting. 2018

Bose, Joos-Hendrik, Flunkert, Valentin, Gasthaus, Jan, Januschowski, Tim, Lange, Dustin, Salinas, David, Schelter, Sebastian, Seeger, Matthias et Wang, Yuyang. Probabilistic demand forecasting at scale. Proceedings of the VLDB Endowment. 2017