2 papers
q-bio.QM2026
A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl
Yuganthi R. Liyanage, Omar Saucedo, Necibe Tuncer +1
Structural identifiability is the theoretical ability to uniquely recover model parameters from ideal, noise-free data and is a prerequisite for reliable parameter estimation in ep…
q-bio.QM2025
Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting
Yuganthi R. Liyanage, Gerardo Chowell, Gleb Pogudin +1
Phenomenological models are highly effective tools for forecasting disease dynamics using real world data, particularly in scenarios where detailed knowledge of disease mechanisms…