Printed from https://ideas.repec.org/n/nep-for/2023-11-20.html
Report NEP-FOR-2023-11-20
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.
Other reports in NEP-FOR
The following items were announced in this report:
- George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
- Puwasala Gamakumara & Edgar Santos-Fernandez & Priyanga Dilini Talagala & Rob J Hyndman & Kerrie Mengersen & Catherine Leigh, 2023. "Conditional Normalization in Time Series Analysis," Monash Econometrics and Business Statistics Working Papers 10/23, Monash University, Department of Econometrics and Business Statistics.
- Ioannis Nasios & Konstantinos Vogklis, 2023. "Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series," Papers 2310.13029, arXiv.org.
- Sahil Teymurzade & Robert Ślepaczuk, 2023. "Predicting DJIA, NASDAQ and NYSE index prices using ARIMA and VAR models," Working Papers 2023-27, Faculty of Economic Sciences, University of Warsaw.