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q-bio.QM2025
Comparing Bayesian and Frequentist Inference in Biological Models: A Comparative Analysis of Accuracy, Uncertainty, and Identifiability
Mohammed A. Y. Mohammed, Hamed Karami, Gerardo Chowell
Mathematical models support inference and forecasting in ecology and epidemiology, but results depend on the estimation framework. We compare Bayesian and Frequentist approaches ac…
q-bio.QM2025
Comparative study of Bayesian and Frequentist methods for epidemic forecasting: Insights from simulated and historical data
Hamed Karami, Ruiyan Luo, Pejman Sanaei +1
Accurate epidemic forecasting is critical for effective public health interventions. This study compares Bayesian and Frequentist estimation frameworks within deterministic compart…
q-bio.QM2024
BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations
Hamed Karami, Amanda Bleichrodt, Ruiyan Luo +1
Background: Mathematical models based on ordinary differential equations (ODEs) are essential tools across various scientific disciplines, including biology, ecology, and healthcar…