Quantum Optimization Refines Hybrid Machine Learning Forecasts for Indian Rice Prices
A hybrid machine learning architecture optimized with quantum-inspired algorithms forecast wholesale rice prices across 23 Indian states with high short-term ...
Tag: Diebold-Mariano test
Rabbits, signals and neural nets: a joint-optimization recipe for stock price forecasting
A hybrid LSTM-ARO-VMD framework that jointly tunes signal decomposition and neural network hyperparameters cut forecasting errors across seven international stocks, ...
ESG uncertainty reshapes volatility forecasts for America’s most polluted sectors
A GARCH-MIDAS study finds that U.S. ESG uncertainty is linked to lower long-run volatility in four highly polluting S&P 500 ...
Simple statistical models hold their own in forecasting footwear factory output
A study of 34 real footwear production observations found ARIMA delivered the most accurate short-term forecasts of pairs per hour, ...
AI Model Reads Lead-Lag Signals to Sharpen Carbon Price Forecasts
A dual-stream graph neural network that encodes time-lagged relationships between market factors outperformed competing methods in forecasting carbon prices across ...
New R package puts an end to data snooping in forecast comparisons
A new open-source R package called RCtest unifies White's Reality Check and its major extensions into a single workflow that ...
Hybrid AI Model Tames the Chaos of GDP Forecasting Across Seven Economies
A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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