LGB+ improves macroeconomic forecasts by letting linear basis functions compete with or alternate against tree updates inside gradient boosting, yielding native linear/nonlinear decomposition of predictions.
arXiv preprint arXiv:2601.06371 , year=
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A momentum-corrected online stacking ensemble forecasts the new Kalimati Vegetable Price Index with RMSE 1.771, MAPE 0.68 percent, and R-squared 0.845 at the 90-day horizon.
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LGB+: A Macroeconomic Forecasting Road Test
LGB+ improves macroeconomic forecasts by letting linear basis functions compete with or alternate against tree updates inside gradient boosting, yielding native linear/nonlinear decomposition of predictions.
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Kalimati Vegetable Price Index Forecasting with a Momentum Corrected Online Stacking Ensemble
A momentum-corrected online stacking ensemble forecasts the new Kalimati Vegetable Price Index with RMSE 1.771, MAPE 0.68 percent, and R-squared 0.845 at the 90-day horizon.