An intermediate-level treatment of Bayesian hierarchical models and their applications, this reference demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables and in methods where parameters can be treated as random collections.
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An intermediate-level treatment of Bayesian hierarchical models and their applications, this reference demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables and in methods where parameters can be treated as random collections.
Read Less