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stat.AP2025
COVID-19 Forecasting from U.S. Wastewater Surveillance Data: A Retrospective Multi-Model Study (2022-2024)
Faharudeen Alhassan, Hamed Karami, Amanda Bleichrodt +4
Accurate and reliable forecasting models are critical for guiding public health responses and policy decisions during pandemics such as COVID-19. Retrospective evaluation of model…
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…