Robust Automated Ensemble Selection for Time Series Forecasting: The UASEP Framework
Abstract
UASEP is introduced as a fully automated framework for unsupervised ensemble forecasting. This estimator is based on the median of all solutions proposed by the alPCA algorithm, so that the end user has a single reliable and robust solution. It is designed to obtain predictions for each of the time series included in the M3 competition. All you have to do is change the number of the time series, s, at the beginning of the code.
Fields of Study & Subjects
Forecasting Techniques and Applications
Time Series Analysis and Forecasting
Stock Market Forecasting Methods
Publication details
- Journal / source
- Code Ocean
- Publication date
- 1 January 2026
- Language
- EN