1 citations · 1 across the 2 of their papers we have counts for
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…
q-bio.QM2024★ 1 cited
Algebraic identifiability of partial differential equation models
Helen Byrne, Heather Harrington, Alexey Ovchinnikov +3
Differential equation models are crucial to scientific processes. The values of model parameters are important for analyzing the behaviour of solutions. A parameter is called globa…