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Forecasting Agricultural Prices Using a Bayesian Composite Approach
6 references·5 citing·29 second hop
Forecasting Agricultural Prices Using a Bayesian Composite Approach (1988)Forecasting Agricultural Prices Using a B…Regression Analysis of Time Series (2015)Regression Analysis of Time S…Advertising and Aggregate Consumption: An Analysis of Causality (2010)Advertising and Aggregate Con…Combining Economic Forecasts (1986)Combining Economic ForecastsForecasting livestock prices with individual and composite methods (1981)Forecasting livestock prices …Advertising and Aggregate Consumption: An Analysis of Causality (1980)Advertising and Aggregate Con…The Combination of Forecasts (1969)The Combination of ForecastsPredicting Scrap Steel Prices Through Machine Learning for South China (2025)Predicting Scrap Steel Prices…Machine learning predictions of China commodity price indices (2025)Machine learning predictions …Machine learning platinum price predictions (2025)Machine learning platinum pri…Steel price index forecasts through machine learning for northwest China (2024)Steel price index forecasts t…Platinum and palladium price forecasting through neural networks (2024)Platinum and palladium price …Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)Statistical efficiency in the linear combination of forecasts (1985)Forecasting Economic Time Series (2000)Forecasts of wholesale food price indices through Gaussian process regressions (2025)Predictive Modeling of Peanut Oil Prices Utilizing a Gaussian Process Regression-Based Machine Learning Framework (2025)Improved methods of combining forecasts (1984)Why are Gambling Markets Organised so Differently from Financial Markets? (2004)Combining expert forecasts: Can anything beat the simple average? (2012)Some Contributions of Integrated Assessment Models of Global Climate Change (2017)MONEY, INCOME, AND CAUSALITY (1972)Regression-Based Tests of Predictive Ability (1998)Robust out-of-sample inference (2000)Using out-of-sample mean squared prediction errors to test the Martingale difference hypothesis (2004)Investigating Causal Relations by Econometric Models and Cross-Spectral Methods (2010)Testing the equality of prediction mean squared errors (1997)Comparing Predictive Accuracy (2002)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)A test for independence based on the correlation dimension (1996)Chapter 4 Forecast Combinations (2006)Corn Cash Price Forecasting (2020)Time series forecasting using a hybrid ARIMA and neural network model (2003)25 years of time series forecasting (2006)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use? (2005)Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis (2005)Asymptotics for out of sample tests of Granger causality (2006)Saving, investment, and capital mobility among OECD countries (1991)A BVAR model for the connecticut economy (1995)Forecasting us home sales using bvar models and survey data on households' buying attitudes for homes (1995)
this work references cited by second hop

References

  • 1969The Combination of Forecasts3,194 cited
  • 1980Advertising and Aggregate Consumption: An Analysis of Causality548 cited
  • 1986Combining Economic Forecasts341 cited
  • 2010Advertising and Aggregate Consumption: An Analysis of Causality189 cited
  • 2015Regression Analysis of Time Series112 cited
  • 1981Forecasting livestock prices with individual and composite methods103 cited

Cited by

  • 2025Machine learning platinum price predictions45 cited
  • 2024Platinum and palladium price forecasting through neural networks42 cited
  • 2025Predicting Scrap Steel Prices Through Machine Learning for South China42 cited
  • 2025Machine learning predictions of China commodity price indices41 cited
  • 2024Steel price index forecasts through machine learning for northwest China39 cited

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