Forecast combinations: an over 50-year review

9 May 2022

Papers citing "Forecast combinations: an over 50-year review"

21 / 21 papers shown

Title
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality Grzegorz Dudek AI4TS 36 1 0 11 Apr 2025
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring Adrian Villalobos Iban Barrutia Rafael Pena-Alzola Tomislav Dragicevic Jose I. Aizpurua 65 0 0 26 Mar 2025
High-dimensional point forecast combinations for emergency department demand Peihong Guo Wen Ye Loh Kenwin Maung Esther Li Wen Choo Borame Lee Dickens Kelvin Bryan Tan John Abishgenadan Pei Ma Jue Tao Lim 28 0 0 20 Jan 2025
Efficient pooling of predictions via kernel embeddings Sam Allen D. Ginsbourger Johanna Fasciati-Ziegel 59 0 0 25 Nov 2024
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding Younghwi Kim Dohee Kim Sunghyun Sim AI4TS 19 0 0 29 Aug 2024
Stacking for Probabilistic Short-term Load Forecasting Grzegorz Dudek AI4TS 27 1 0 15 Jun 2024
Maximally Forward-Looking Core Inflation Philippe Goulet Coulombe Karin Klieber Christophe Barrette Maximilian Goebel 21 2 0 08 Apr 2024
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices A. Brusaferri A. Ballarino Luigi Grossi F. Laurini AI4TS 21 3 0 03 Apr 2024
Operational Collective Intelligence of Humans and Machines Nikolos Gurney Fred Morstatter David Pynadath Adam Russell Gleb Satyukov AI4CE 22 0 0 16 Feb 2024
Infinite forecast combinations based on Dirichlet process Yinuo Ren Feng Li Yanfei Kang Jue Wang AI4TS 12 0 0 21 Nov 2023
Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding? W. Nitka R. Weron 13 11 0 29 Aug 2023
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur Caner Turkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Bernie Wang BDL AI4TS 18 23 0 10 Aug 2023
Ensemble learning for blending gridded satellite and gauge-measured precipitation data Georgia Papacharalampous Hristos Tyralis N. Doulamis Anastasios Doulamis 17 8 0 09 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 31 140 0 07 Jul 2023
Better Together: pooling information in likelihood-free inference David T. Frazier Christopher C. Drovandi David J. Nott 14 1 0 05 Dec 2022
Another look at forecast trimming for combinations: robustness, accuracy and diversity Xiaoqian Wang Yanfei Kang Feng Li 21 4 0 30 Jul 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 19 28 0 17 Jun 2022
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications Li Li Yanfei Kang F. Petropoulos Feng Li 24 11 0 18 Apr 2022
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting Madhurima Panja Tanujit Chakraborty U. Kumar Abdenour Hadid AI4TS 9 1 0 01 Apr 2022
Bayesian forecast combination using time-varying features Li Li Yanfei Kang Feng Li AI4TS 16 14 0 04 Aug 2021
CRPS Learning Jonathan Berrisch F. Ziel 37 25 0 01 Feb 2021