2 papers
stat.ME2025
Exact identifiability analysis for a class of partially observed near-linear stochastic differential equation models
Alexander P Browning, Michael J Chappell, Hamid Rahkooy +2
Stochasticity plays a key role in many biological systems, necessitating the calibration of stochastic mathematical models to interpret associated data. For model parameters to be…
stat.ME2025
Think before you fit: parameter identifiability, sensitivity and uncertainty in systems biology models
Simon P. Preston, Richard D. Wilkinson, Richard H. Clayton +2
Reliable predictions from systems biology models require knowing whether parameters can be estimated from available data, and with what certainty. Identifiability analysis reveals…