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Determining when to update the weights in combined forecasts for product demand––an application of the CUSUM technique

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A robust time-varying weight combined model for crude oil price forecasting

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A Hybrid Forecasting Structure Based on Arima and Artificial Neural Network Models

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Bayesian Calibration of Generalized Pools of Predictive Distributions

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A Winner's Curse for Econometric Models: On the Joint Distribution of In-Sample Fit and Out-of-Sample Fit and its Implications for Model Selection

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System Dynamics Approach for Assessing the Behaviour of the Lim Reservoir System (Serbia) under Changing Climate Conditions

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A Model Confidence Set approach to the combination of multivariate volatility forecasts

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Bias–Variance Trade-Off and Shrinkage of Weights in Forecast Combination

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Subjective Bond Returns and Belief Aggregation

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The effects of information on competition on a hybrid retail platform

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Forecasting product sales using text mining: a case study in new energy vehicle

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Short-term wind speed syntheses correcting forecasting model and its application

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Ensemble forecasting of Value at Risk via Multi Resolution Analysis based methodology in metals markets

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Predicting detailed body sizes by feature parameters

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Model averaging with covariates that are missing completely at random

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Forecasting copper futures volatility under model uncertainty

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Efficient Inference with Poor Instruments: A General Framework

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Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia

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A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm

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Quantile Forecast Combinations in Realised Volatility Prediction

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Invited Review: Combining Forecasts – Twenty Years Later

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A comparison of the accuracy of the Box-Jenkins method with that of automated forecasting methods

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Forecasting streamflows in Australia using the tropical Indo-Pacific thermocline as predictor

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Penalized time-varying model averaging

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Can commodity returns forecast Canadian sector stock returns?

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Application of air quality combination forecasting to Bogota

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Using optimal combination method and in situ hyperspectral measurements to estimate leaf nitrogen concentration in barley

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Using different multimodel ensemble approaches to simulate soil moisture in a forest site with six traditional pedotransfer functions

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Data-driven aggregative schemes for multisource estimation fusion: a road travel time application

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Density Forecast Combination

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Forecasting from misspecified Models in the Presence of Unanticipated Location Shifts

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Does speculation impact what factors determine oil futures prices?

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Merging Alternate Remotely-Sensed Soil Moisture Retrievals Using a Non-Static Model Combination Approach

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Analysis and Modeling for China’s Electricity Demand Forecasting Based on a New Mathematical Hybrid Method

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Gresham's Law of Model Averaging

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Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors

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A combined forecasting structure based on the L1 norm: Application to the air quality

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A new Bayesian approach to quantile autoregressive time series model estimation and forecasting

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Locally Adaptive Cooperative Kalman Smoothing and Its Application to Identification of Nonstationary Stochastic Systems

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Leading Indicators of Growth and Inflation in Turkey

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Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank

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Multi-Step Forecast Model Selection

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TIME SERIES AND SPECTRAL METHODS IN ECONOMETRICSPreprint

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Estimating the Residential Population from Mobile Phone Data, an Initial Exploration

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Application research of combined model based on VMD and MOHHO in precipitable water vapor Prediction

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Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?

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Model Switching and Model Averaging in Time-Varying Parameter Regression Models

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FORECAST UNCERTAINTY, ITS REPRESENTATION AND EVALUATION

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A linkage among whole-stand model, individual-tree model and diameter-distribution model

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Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach

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A hybrid methodology to estimate construction material quantities at an early project phase

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Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission

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Forecasting Elections

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Demonstrating the value of larger ensembles in forecasting physical systems

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An ensemble approach to predicting the impact of vaccination on rotavirus disease in Niger

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Technical note: Combining quantile forecasts and predictive distributions of streamflows

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ExpectHill estimation, extreme risk and heavy tails

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Ensemble Projection of Runoff in a Large‐Scale Basin: Modeling With a Global BMA Approach

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Déjà vu: A data-centric forecasting approach through time series cross-similarity

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A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting

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On Variable Selection for Volatility Forecasting: The Role of Focused Selection Criteria

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Boosting-Based Frameworks in Financial Modeling: Application to Symbolic Volatility Forecasting

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A Benchmarking Approach to Forecast Combination

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Collinearity and the use of latent root regression for combining GNP forecasts

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Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and CombinationPreprint

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Model Averaging and Double Machine Learning

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Managing electricity price modeling risk via ensemble forecasting: The case of Turkey

Avcı, E., Ketter, W., & van Heck, E. (2018) · Energy Policy · doi:10.1016/j.enpol.2018.08.053 · Cited by 22

Market timing using combined forecasts and machine learning

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Forecast combination with meta possibilistic fuzzy functions

Tak, N. (2021) · Information Sciences · doi:10.1016/j.ins.2021.01.024 · Cited by 23

Predicting bond return predictability

Borup, D., Eriksen, J. N., Kjær, M. M., & Thyrsgaard, M. (2024) · Management Science · doi:10.1287/mnsc.2023.4713 · Cited by 22

Typhoon Track Prediction Based on Deep Learning

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Uncertainty Analysis and Quantification in Flood Insurance Rate Maps Using Bayesian Model Averaging and Hierarchical BMA

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Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale

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Landslide susceptibility mapping of mountain roads based on machine learning combined model

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Forecasting electricity spot prices using time-series models with a double temporal segmentation

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The optimal group consensus deviation measure for multiplicative preference relations

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The wisdom of crowds for visual search

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A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information

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Too Similar to Combine? On Negative Weights in Forecast Combination

Radchenko, P., Vasnev, A. L., & Wang, W. (2020) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2021.08.002 · Cited by 22

System synthesis with morphological clique problem: fusion of subsystem evaluation decisions

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Combining Forecasts

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PRINCIPLES OF FORECASTING 1 Combining Forecasts

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Some Statistical Results in the Combination of Forecasts

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Variable Weight Combining Forecasts Based on Forecasting Error

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