Engineering Applications of Statistics
A Bayesian hierarchical model is a statistical model that incorporates multiple levels of variability or parameters in a structured way, allowing for the analysis of data that is organized at different levels. This type of model uses Bayes' theorem to update the probability estimates of parameters based on observed data, making it particularly useful for dealing with complex data structures where different groups or clusters may exhibit varying behaviors.
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