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Report NEP-FOR-2021-08-30
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:
- George Athanasopoulos & Nikolaos Kourentzes, 2021, "On the Evaluation of Hierarchical Forecasts," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 10/21.
- Paul Ho, 2021, "Forecasting in the Absence of Precedent," Working Paper, Federal Reserve Bank of Richmond, number 21-10, Jun, DOI: 10.21144/wp21-10.
- Sium Bodha Hannadige & Jiti Gao & Mervyn J Silvapulle & Param Silvapulle, 2021, "Time Series Forecasting Using a Mixture of Stationary and Nonstationary Predictors," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 6/21.
- Sudiksha Joshi, 2021, "Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs," Papers, arXiv.org, number 2108.06553, Aug.
- Parvez, Rezwanul & Ali Meerza, Syed Imran & Hasan Khan Chowdhury, Nazea, 2021, "Forecasting student enrollment using time series models and recurrent neural networks," 2021 Annual Meeting, August 1-3, Austin, Texas, Agricultural and Applied Economics Association, number 312912, Aug, DOI: 10.22004/ag.econ.312912.
- Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021, "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia, Banco de la Republica de Colombia, number 1168, Aug, DOI: 10.32468/be.1168.
- David T. Frazier & Ruben Loaiza-Maya & Gael M. Martin & Bonsoo Koo, 2021, "Loss-Based Variational Bayes Prediction," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 8/21.
- Wei Zhou & Eoghan O’Neill & Alice Moncaster & David Reiner & Peter Guthrie, 2020, "Forecasting Urban Residential Stock Turnover Dynamics using System Dynamics and Bayesian Model Averaging," Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG2016, Jun.
- Farmer, J. Doyne & Ives, Matthew & Way, Rupert & Mealy, Penny, 2020, "Empirically grounded technology forecasts and the energy transition," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2021-01, Dec, revised 2021.
- David G. Blanchflower & Alex Bryson, 2021, "The Economics of Walking About and Predicting Unemployment," DoQSS Working Papers, Quantitative Social Science - UCL Social Research Institute, University College London, number 21-24, Aug.