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Report NEP-FOR-2023-04-24
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:
- Katarzyna Maciejowska & Tomasz Serafin & Bartosz Uniejewski, 2023, "Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading," Papers, arXiv.org, number 2303.08565, Mar, revised Nov 2024.
- Chang Liu, 2023, "Exploiting Supply Chain Interdependencies for Stock Return Prediction: A Full-State Graph Convolutional LSTM," Papers, arXiv.org, number 2303.09406, Mar, revised Dec 2025.
- Haritha GB & Sahana N. B, 2023, "Cryptocurrency Price Prediction using Twitter Sentiment Analysis," Papers, arXiv.org, number 2303.09397, Mar.
- Largier, John L & Munger, Sophie & Shilling, Fraser & Roettger, Robin, 2023, "Forecasting High Bay Water Levels that Result in Flooding and Highway Closure," Institute of Transportation Studies, Working Paper Series, Institute of Transportation Studies, UC Davis, number qt4ts3d98k, Mar.