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Report NEP-FOR-2023-05-22
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:
- Daniele Girolimetto & George Athanasopoulos & Tommaso Di Fonzo & Rob J Hyndman, 2023, "Cross-temporal Probabilistic Forecast Reconciliation," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 6/23.
- Mayank Ratan Bhardwaj & Jaydeep Pawar & Abhijnya Bhat & Deepanshu & Inavamsi Enaganti & Kartik Sagar & Y. Narahari, 2023, "An innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction," Papers, arXiv.org, number 2304.09761, Apr.
- Li Tang & Chuanli Tang & Qi Fu, 2023, "Enhanced multilayer perceptron with feature selection and grid search for travel mode choice prediction," Papers, arXiv.org, number 2304.12698, Apr, revised Oct 2023.