Forecast with Forecasts: Diversity Matters

3 December 2020

Papers citing "Forecast with Forecasts: Diversity Matters"

10 / 10 papers shown

Title
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality Grzegorz Dudek AI4TS 31 1 0 11 Apr 2025
Forecast Linear Augmented Projection (FLAP): A free lunch to reduce forecast error variance Yangzhuoran Fin Yang George Athanasopoulos Rob J. Hyndman Anastasios Panagiotelis 18 0 0 02 Jul 2024
Stacking for Probabilistic Short-term Load Forecasting Grzegorz Dudek AI4TS 21 1 0 15 Jun 2024
Optimizing accuracy and diversity: a multi-task approach to forecast combinations Giovanni Felici A. M. Sudoso 8 0 0 31 Oct 2023
Forecasting large collections of time series: feature-based methods Li Li Feng Li Yanfei Kang AI4TS 10 0 0 25 Sep 2023
Another look at forecast trimming for combinations: robustness, accuracy and diversity Xiaoqian Wang Yanfei Kang Feng Li 21 4 0 30 Jul 2022
Forecast combinations: an over 50-year review Xiaoqian Wang Rob J. Hyndman Feng Li Yanfei Kang AI4TS 22 138 0 09 May 2022
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications Li Li Yanfei Kang F. Petropoulos Feng Li 21 11 0 18 Apr 2022
Bayesian forecast combination using time-varying features Li Li Yanfei Kang Feng Li AI4TS 11 10 0 04 Aug 2021
Hierarchical forecasting with a top-down alignment of independent level forecasts Matthias Anderer Feng Li AI4TS 14 13 0 15 Mar 2021