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- Parameter Redundancy and Identifiability
Parameter Redundancy and Identifiability
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Statistical and mathematical models are defined by parameters that describe different characteristics of those models. This book explains why parameter redundancy and non-identifiability is a problem and the different methods that can be used for detection, including in a Bayesian context.
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