Parameter Redundancy and Identifiability

Parameter redundancy and non-identifiability pose significant challenges in statistical and mathematical modeling. This book delves into these issues, explaining their implications and offering various detection methods, particularly within a Bayesian framework. It serves as a comprehensive guide for understanding how these problems affect model reliability and the importance of addressing them in statistical analysis.