Partial pooling
= Partial pooling
<Partial pooling> estimates related local parameters jointly through shared <hyperparameters>. Each local <Bayesian posterior> balances its own <likelihood function> against a group <prior distribution>, with stronger shrinkage when its data are weak or the group variation is small. It lies between forcing all local parameters to be equal and estimating them independently. <Random-effects meta-analysis> is an important application.