Reducing structural non-identifiabilities in upstream bioprocess models using profile-likelihood
H. Babel, O. Omar, A. J. Paul, J. Baer
This study applies profile likelihood to assess parameter identifiability in an upstream bioprocess model, showing that adding data reduces non-identifiability and enables structural model improvements.
bioRxiv · Feb 17, 2022 · PreprintBioengineering