Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach
Published in Computational Statistics, 2023
We present a parameter estimation method for nonlinear mixed effect models based on ordinary differential equations (NLME-ODEs). The proposed method aims at regularizing the estimation problem in presence of model misspecifications, practical identifiability issues and unknown initial conditions, using a control theory approach.
Recommended citation: Clairon, Q., Pasin, C., Balelli, I., et al. (2023). Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach. Computational Statistics, 1-31.