Bayesian hierarchical models created: 2020-04-16 · modified: 2020-09-07 page details Exchangeablility Sources Exchangeablility Consider the set of experiments j=1,…,Jj=1,\dots,Jj=1,…,J, where each experiment jjj has data yjy_jyj and parameters θj\theta_jθj, with likelihood p(yj∣θj)p(y_j|\theta_j)p(yj∣θj). Sources Online book