Identifiability and Regression Analysis of Biological Systems Models
Identifiability and Regression Analysis of Biological Systems Models:
Statistical and Mathematical Foundations and R Scripts
English | 2024 | ISBN: 303174747X | 130 Pages | PDF EPUB (True) | 13 MB
Statistical and Mathematical Foundations and R Scripts
English | 2024 | ISBN: 303174747X | 130 Pages | PDF EPUB (True) | 13 MB
This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives. It begins by providing a definition of complexity in dynamic systems, introducing the concepts of system size, density of interactions, stiff dynamics, and the hybrid nature of determination. The discussion then turns to the mathematical foundations of model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection, and their algorithmic procedures.