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Report NEP-FOR-2020-04-13
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:
- Pak, Anton & Gannon, Brenda & Staib, Andrew, 2020, "Forecasting Waiting Time to Treatment for Emergency Department Patients," OSF Preprints, Center for Open Science, number d25se, Mar, DOI: 10.31219/osf.io/d25se.
- Chong, Terence Tai Leung & Ka, Yiu Tung, 2019, "Forecasting Income Inequality with Demographic Projections," MPRA Paper, University Library of Munich, Germany, number 99160, Dec.
- Ergun Yukseltan & Ahmet Yucekaya & Ayse Humeyra Bilge & Esra Agca Aktunc, 2020, "Forecasting Models for Daily Natural Gas Consumption Considering Periodic Variations and Demand Segregation," Papers, arXiv.org, number 2003.13385, Feb.
- Jennifer L. Castle & Jurgen A. Doornik & David Hendry, 2019, "Some forecasting principles from the M4 competition," Economics Papers, Economics Group, Nuffield College, University of Oxford, number 2019-W01, Jan.
- Wei-Zhen Li & Jin-Rui Zhai & Zhi-Qiang Jiang & Gang-Jin Wang & Wei-Xing Zhou, 2020, "Predicting tail events in a RIA-EVT-Copula framework," Papers, arXiv.org, number 2004.03190, Apr, revised Apr 2020.
- Andrew Atkeson, 2020, "What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," NBER Working Papers, National Bureau of Economic Research, Inc, number 26867, Mar.
- Nathan Dahlin & Rahul Jain, 2020, "Scheduling Flexible Non-Preemptive Loads in Smart-Grid Networks," Papers, arXiv.org, number 2003.13220, Mar, revised Dec 2021.