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Report NEP-FOR-2021-10-04
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:
- Laura Coroneo, & Fabrizio Iacone, & Giancarlo Manzi, & Silvia Salini, 2021, "Predicting the COVID-19 epidemic: is a regional approach preferable?," Discussion Papers, Department of Economics, University of York, number 21/06, Sep.
- Item repec:rim:rimwps:21-20 is not listed on IDEAS anymore
- Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2021, "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Paper, Norges Bank, number 2021/3, Jun.
- Jiun-Hua Su, 2021, "No-Regret Forecasting with Egalitarian Committees," Papers, arXiv.org, number 2109.13801, Sep.
- Kadanga, Mayo Takémsi Norris & Togbenu, Fo-Kossi Edem, 2021, "Modélisation et prévision du nombre d’infections au coronavirus au Togo: une approche par un modèle ARIMA avec le logiciel R
[Modeling and forecasting the number of coronavirus infections in Togo: an ARIMA model approach with R software]," MPRA Paper, University Library of Munich, Germany, number 109893, Sep. - Eleonora Granziera & Pirkka Jalasjoki & Maritta Paloviita, 2021, "The Bias and Efficiency of the ECB Inflation Projections: a State Dependent Analysis," Working Paper, Norges Bank, number 2021/1, Apr.
- Sarun Kamolthip, 2021, "Macroeconomic forecasting with LSTM and mixed frequency time series data," Papers, arXiv.org, number 2109.13777, Sep.
- Xingzuo Zhou & Yiang Li, 2021, "Forecasting the COVID-19 vaccine uptake rate: An infodemiological study in the US," Papers, arXiv.org, number 2109.13971, Sep, revised Dec 2021.
- Eduardo Ramos-P'erez & Pablo J. Alonso-Gonz'alez & Jos'e Javier N'u~nez-Vel'azquez, 2021, "Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility," Papers, arXiv.org, number 2109.12621, Sep.
- Ulrich Hounyo & Kajal Lahiri, 2021, "Estimating the Variance of a Combined Forecast: Bootstrap-Based Approach," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2021-14, Sep.
- Jinlong Ruan & Wei Wu & Jiebo Luo, 2021, "Stock Price Prediction Under Anomalous Circumstances," Papers, arXiv.org, number 2109.15059, Sep.
- Walker, Joan L. & Chatman, Daniel & Daziano, Ricardo & Erhardt, Gregory & Gao, Song & Mahmassani, Hani & Ory, David & Sall, Elizabeth & Bhat, Chandra & Chim, Nicholas & Daniels, Clint & Gardner, Brian, 2019, "Advancing the Science of Travel Demand Forecasting," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings, Institute of Transportation Studies, UC Berkeley, number qt0v1906ts, Dec.