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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, or Bluesky.
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, International Network for Economic Research - INFER, number 2022.11.
- Marc S. Paolella & Pawel Polak, 2022, "Density and Risk Prediction with Non-Gaussian COMFORT Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-88, Nov.
- Michał Lewandowski & Marcin Chlebus, 2021, "Predicting football outcomes from Spanish league using machine learning models," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-22.
- Greta Goracci & Davide Ferrari & Simone Giannerini & Francesco ravazzolo, 2022, "Robust estimation for Threshold Autoregressive Moving-Average models," Papers, arXiv.org, number 2211.08205, Nov.