Defines the Practical Identifiability Index (PII) as the log-span of bootstrap confidence intervals for positive parameters in dynamical models and shows via experiments that uncertainty drops with informative data windows but stays high for latent processes.
Comparative analysis of practical identifiability methods for an seir model.arXiv preprint arXiv:2401.15076, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.QM 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Parameter uncertainty in dynamical models: a practical identifiability index
Defines the Practical Identifiability Index (PII) as the log-span of bootstrap confidence intervals for positive parameters in dynamical models and shows via experiments that uncertainty drops with informative data windows but stays high for latent processes.