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Report NEP-FOR-2024-11-25
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:
- Opeyemi Sheu Alamu & Md Kamrul Siam, 2024, "Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals," Papers, arXiv.org, number 2410.07220, Sep.
- Te Li & Mengze Zhang & Yan Zhou, 2024, "LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting," Papers, arXiv.org, number 2410.15286, Oct.
- Inna S. Lola & Dmitry Asoskov, 2024, "Exploring the potential of business uncertainty indicators in forecasting economic activity: The case of Russia," HSE Working papers, National Research University Higher School of Economics, number WP BRP 128/STI/2024.