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Appendice B: Riferimenti - Principi della previsione di serie temporali con Amazon Forecast

Appendice B: Riferimenti

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

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

Jan Gasthaus, Konstantinos Benidis, Yuyang Wang, Syama Sundar Rangapuram, David Salinas, Valentin Flunkert e Tim Januschowski. Probabilistic Forecasting with Spline Quantile Function RNNs. International Conference on Artificial Intelligence and Statistics, 22a edizione. 2019

Tim Januschowski, Jan Gasthaus, Yuyang Wang, David Salinas, Valentin Flunkert, Michael Bohlke-Schneider e Laurent Callot. Criteria for classifying forecasting methods. International Journal of Forecasting. 2019 (account di accesso necessario)

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

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

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