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Modelling Adult Obesity in China From 1975 to 2016: A Comparative Analysis of Growth Curves and Time Series Approaches
Comparative analysis of growth curves and time series models for projecting adult obesity prevalence in China from 1975 to 2016, highlighting the Logistic model's superior accuracy.
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XGBoost outperformed ARIMA and Prophet for TB forecasting
XGBoost machine learning model demonstrates superior accuracy for monthly tuberculosis forecasting in coastal urban environments compared to traditional ARIMA and Prophet approaches.
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Hybrid VAR models improved forecasting for several macroeconomic indicators
Study integrates VAR models with machine learning algorithms to forecast macroeconomic variables across African economies, demonstrating improved accuracy for inflation and FDI dynamics.
