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Report NEP-FOR-2023-01-23
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:
- Meyer-Gohde, Alexander & Shabalina, Ekaterina, 2022, "Estimation and forecasting using mixed-frequency DSGE models," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 175.
- Asati, Akshita, 2022, "A Comparative Study On Forecasting Consumer Price Index Of India Amongst XGBoost, Theta, ARIMA, Prophet And LSTM Algorithms," OSF Preprints, Center for Open Science, number hyqsb, Dec, DOI: 10.31219/osf.io/hyqsb.
- Hamid Nasiri & Mohammad Mehdi Ebadzadeh, 2022, "Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition," Papers, arXiv.org, number 2212.14687, Dec.
- Ziwei Mei & Zhentao Shi, 2022, "On LASSO for High Dimensional Predictive Regression," Papers, arXiv.org, number 2212.07052, Dec, revised Jan 2024.