A Bayesian model in which parameters are nested within higher-level distributions — e.g. group-level coefficients drawn from a shared population distribution. Enables partial pooling: estimates for data-poor groups are shrunk toward the population mean, reducing variance with controlled bias. Foundational for analyses with clustered, longitudinal, or cross-nested data structures.