The Combination of Forecasts

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Are low-frequency data really uninformative? A forecasting combination perspective

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Applying a Multi-Model Ensemble Method for Long-Term Runoff Prediction under Climate Change Scenarios for the Yellow River Basin, China

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Research and Application of a Hybrid Wind Energy Forecasting System Based on Data Processing and an Optimized Extreme Learning Machine

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Improving the forecasting performance of temporal hierarchies

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PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices

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How Should Benefits and Costs Be Discounted in an Inter-generational Context?

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An innovative model for predicting the displacement and rotation of column-tree moment connection under fire

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Operationalizing ensemble models for scientific advice to fisheries management

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Further Cross-Country Evidence on the Accuracy of the Private Sector's Output Forecasts

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A panel data approach to economic forecasting: The bias-corrected average forecast

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Combining Hydrologic Forecasts

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Combining algorithms based on robust estimation techniques and co‐integrating restrictions

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The impact patterns of classroom lighting parameters on visual fatigue and a mathematical model

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Stock picking with machine learning

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Heterogeneous agents, the financial crisis and exchange rate predictability

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Applying distribution model projections for an uncertain future: the case of the Pacific oyster in UK waters

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Predicting relative forecasting performance: An empirical investigation

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Optimized nonlinear neural network architectural models for multistep wind speed forecasting

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HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting

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Atomic clock performance and combined clock error prediction for the new generation of BeiDou navigation satellites

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Forecasting in the Presence of Structural Breaks and Policy Regime Shifts

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Competition among networks improves committee performance

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The Forecast Combination Puzzle: A Simple Theoretical ExplanationPreprint

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CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data

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Can Macro Variables Used in Stress Testing Forecast the Performance of Banks?

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Improving Experts' Wine Quality Judgments: Two Heads Are Better than One

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Meta fuzzy functions: Application of recurrent type-1 fuzzy functions

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Will Trump's coal revival plan work? - Comparison of results based on the optimal combined forecasting technique and an extended IPAT forecasting technique

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Predicting/hypothesizing the findings of the M4 Competition

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Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events

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An ensemble forecasting model for predicting contribution of food donors based on supply behavior

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Simple averaging of direct and recursive forecasts via partial pooling using machine learning

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A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties

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The financial econometrics of price discovery and predictability

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Impact of standardization sample design on Tikhonov regularization variants for spectroscopic calibration maintenance and transfer

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Analysis of peak and non‐peak traffic forecasts using combined models

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Financial Variables and the Simulated Out‐of‐Sample Forecastability of U.S. Output Growth Since 1985: An Encompassing Approach

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Combining Tree- and Stand-Level Models: A New Approach to Growth Prediction

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A decision support system for vehicle fleet planning

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Combining heterogeneous classifiers for stock selection

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Comparing Forecast Performance of Exchange Rate ModelsPreprint

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Forecasting Using Bayesian and Information Theoretic Model Averaging: An Application to UK InflationPreprint

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Stock Market Anomalies and Machine Learning Across the Globe

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The Box-Jenkins approach to time series analysis and forecasting : principles and applications

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Combining Property Price Predictions from Repeat Sales and Spatially Enhanced Hedonic Regressions

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Probabilistic post-processing of gridded atmospheric variables and its application to site adaptation of shortwave solar radiation

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DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting

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Measurement of Economic Forecast Accuracy: A Systematic Overview of the Empirical Literature

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Improving prediction of chickpea wilt severity using machine learning coupled with model combination techniques under field conditions

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Robustify Financial Time Series Forecasting with Bagging

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A composite approach to forecasting state government revenues: Case study of the Idaho sales tax

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FORECASTING TIME SERIES DATA USING HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL

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Forecast evaluation tests and negative long-run variance estimates in small samples

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Expected Business Conditions and Bond Risk Premia

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On the Expectations View of the Term Structure, Term Premia and Survey- Based Expectations

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Alternative methods of combining security analysts' and statistical forecasts of annual corporate earnings

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Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB ToolboxPreprint

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A novel approach to predicting customer lifetime value in B2B SaaS companies

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A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting

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Potential drought stress in a Swiss mountain catchment—Ensemble forecasting of high mountain soil moisture reveals a drastic decrease, despite major uncertainties

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Forecasting quantiles of day-ahead electricity load

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Housing price forecastability: A factor analysis

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Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?

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An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. Part I. Model development

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Forecast combination in industrial series: A comparison between individual forecasts and its combinations with and without correlated errors

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Linking individual-tree and whole-stand models for forest growth and yield prediction

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Efficient linear fusion of partial estimators

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Characterizing and Visualizing Predictive Uncertainty in Numerical Ensembles Through Bayesian Model Averaging

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Fusion of pan-tropical biomass maps using weighted averaging and regional calibration data

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Forecasting the realized volatility of the Chinese stock market: Do the G7 stock markets help?

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Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods

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Stock return prediction: Stacking a variety of models

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Time Series Prediction of Dam Deformation Using a Hybrid STL–CNN–GRU Model Based on Sparrow Search Algorithm Optimization

Lin, C., Weng, K., Lin, Y., Zhang, T., He, Q., & Su, Y. P. (2022) · Applied Sciences · doi:10.3390/app122311951 · Cited by 35

Optimal sub-models selection algorithm for combination forecasting model

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Forecasting US state-level employment growth: An amalgamation approach

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Estimating Taylor-Type Rules: An Unbalanced Regression?

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Merging radar and in situ rainfall measurements: An assessment of different combination algorithms

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Using Experts’ Noisy Quantile Judgments to Quantify Risks: Theory and Application to Agribusiness

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Forecasting exchange rate volatility: The superior performance of conditional combinations of time series and option implied forecasts

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Nonlinear combination of forecasts using artificial neural network, fuzzy logic and neuro-fuzzy approaches

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The Rationality and Efficiency of Individuals' Forecasts

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Forecasting project progress and early warning of project overruns with probabilistic methods

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Bond Risk Premia with Machine LearningPreprint

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Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography

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Machine Learning and the Cross-Section of Cryptocurrency Returns

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Bottom-up or direct? Forecasting German GDP in a data-rich environment

Heinisch, K., & Scheufele, R. (2017) · Empirical Economics · doi:10.1007/s00181-016-1218-x · Cited by 30

Dynamic selection of forecast combiners

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Autonomic Forecasting Method Selection: Examination and Ways Ahead

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Integrated Forecasting Method for Wind Energy Management: A Case Study in China

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A novel air quality prediction and early warning system based on combined model of optimal feature extraction and intelligent optimization

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Combining Forecasts

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PRINCIPLES OF FORECASTING 1 Combining Forecasts

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2001e), “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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