Comparative study of Bayesian and frequentist methods for epidemic forecasting: Insights from simulated and historical data
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Accurate epidemic forecasting is critical for effective public health interventions. This study compares Bayesian and Frequentist estimation frameworks within deterministic compartmental epidemic models, focusing on nonlinear least squares (NLS) optimization v... ...
