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Bootstrap Aggregating and Random Forest
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Bootstrap Aggregating and Random Forest (2019)Bootstrap Aggregating and Random ForestHow Useful Is Bagging in Forecasting Economic Time Series? A Case Study of U.S. Consumer Price Inflation (2008)How Useful Is Bagging in Fore…A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)A Comprehensive Look at The E…Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives (2024)Using machine‐learning method…An integrated approach of ensemble learning methods for stock index prediction using investor sentiments (2023)An integrated approach of ens…The Macroeconomy as a Random Forest (2020)The Macroeconomy as a Random …The Combination of Forecasts (1969)Forecasting Using Principal Components From a Large Number of Predictors (2002)Macroeconomic Forecasting Using Diffusion Indexes (2002)Forecasting Financial and Macroeconomic Variables Using Data Reduction Methods: New Empirical Evidence (2010)Forecasting commodity price indexes using macroeconomic and financial predictors (2014)Forecasting with factor-augmented regression: A frequentist model averaging approach (2015)The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors (1988)Business conditions and expected returns on stocks and bonds (1989)Comparing Predictive Accuracy (1994)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)Presidential Address: Discount Rates (2011)Empirical Asset Pricing via Machine Learning (2020)Econometric policy evaluation: A critique (1976)Time Varying Structural Vector Autoregressions and Monetary Policy (2005)Measuring the Output Responses to Fiscal Policy (2012)17. A Value for n-Person Games (1953)Good Day Sunshine: Stock Returns and the Weather (2003)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation (1998)Methods for Meta-Analysis in Medical Research (2000)Meta-analysis and the science of research synthesis (2018)
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References

  • 2007A Comprehensive Look at The Empirical Performance of Equity Premium Prediction3,984 cited
  • 2008How Useful Is Bagging in Forecasting Economic Time Series? A Case Study of U.S. Consumer Price Inflation197 cited

Cited by

  • 2023An integrated approach of ensemble learning methods for stock index prediction using investor sentiments52 cited
  • 2020The Macroeconomy as a Random Forest41 cited
  • 2024Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives12 cited

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