Printed from https://ideas.repec.org/n/nep-for/2023-01-16.html
Report NEP-FOR-2023-01-16
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:
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022, "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers, arXiv.org, number 2212.03471, Dec, revised Jul 2023.
- Mboya, Mwasi & Sibbertsen, Philipp, 2022, "Optimal Forecasts in the Presence of Discrete Structural Breaks under Long Memory," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-705, Dec.
- Emmanuel Alanis & Sudheer Chava & Agam Shah, 2022, "Benchmarking Machine Learning Models to Predict Corporate Bankruptcy," Papers, arXiv.org, number 2212.12051, Dec.