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Bayesian hierarchical models are statistical models designed to analyse data with a hierarchical structure, where parameters at different levels of the hierarchy are related to each other. These models are particularly useful when dealing with data that are grouped or nested, allowing for more accurate and nuanced estimations compared to traditional methods.
