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Report NEP-FOR-2022-12-12
This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-FOR
The following items were announced in this report:
- Kea Baret & Amelie Barbier-Gauchard & Theophilos Papadimitriou, 2022. "Forecasting the Stability and Growth Pact compliance using Machine Learning," Working Papers 2022.11, International Network for Economic Research - INFER.
- Marc S. Paolella & Pawel Polak, 2022. "Density and Risk Prediction with Non-Gaussian COMFORT Models," Swiss Finance Institute Research Paper Series 22-88, Swiss Finance Institute.
- Michał Lewandowski & Marcin Chlebus, 2021. "Predicting football outcomes from Spanish league using machine learning models," Working Papers 2021-22, Faculty of Economic Sciences, University of Warsaw.
- Greta Goracci & Davide Ferrari & Simone Giannerini & Francesco ravazzolo, 2022. "Robust estimation for Threshold Autoregressive Moving-Average models," Papers 2211.08205, arXiv.org.