Efficient Bayesian inference for ordinary differential equation models from experimental data with uncertain measurement times
Jakob Vanhoefer, Vanessa Nakonecnij, Nadine Binder, Jan Hasenauer
This paper presents a Bayesian framework for parameter inference in ODE models that accounts for uncertain measurement times, improving reliability and efficiency in dynamic modeling.
bioRxiv · May 13, 2026 · PreprintSystems Biology