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Report NEP-FOR-2023-09-25
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:
- Gilberto Boaretto & Marcelo C. Medeiros, 2023, "Forecasting inflation using disaggregates and machine learning," Papers, arXiv.org, number 2308.11173, Aug.
- Thorsten Drautzburg, 2023, "A Structural Approach to Combining External and DSGE Model Forecasts," Working Papers, Federal Reserve Bank of Philadelphia, number 23-10, Jun, DOI: 10.21799/frbp.wp.2023.10.
- SujayKumar Reddy M & Gopakumar G, 2023, "PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting -- A Case Study," Papers, arXiv.org, number 2308.07320, Jul.
- Christis Katsouris, 2023, "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers, arXiv.org, number 2308.16192, Aug.