Neither Bayesian nor frequentist fitting is uniformly better for epidemic forecasts; performance depends on phase and data, though the paper's own results undercut its phase-specific claims.
Annual Review of Medicine 51(1), 407--421
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Comparative study of Bayesian and Frequentist methods for epidemic forecasting: Insights from simulated and historical data
Neither Bayesian nor frequentist fitting is uniformly better for epidemic forecasts; performance depends on phase and data, though the paper's own results undercut its phase-specific claims.