Parameter Redundancy and Identifiability

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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.