Computational Procedures for Model Identification

Abstract

Mathematical models provide abstract representations of the information gained from experimental observations on the structure and function of a partic- ular biological system. Conferring a predictive character on a given mathematical formulation often relies on determining a number of non-measurable parameters that largely condition the model’s response. These parameters can be usually esti- mated by fitting the model to experimental data. This chapter covers the parameter identification problem, its formulation and solution, and two closely related topics: identifiability and optimal experimental design.