Uncertainty Quantification for Multi-level Models Using the Survey-Weighted Pseudo-Posterior

Parameter estimation and inference from complex survey samples typically focuses on global model parameters whose estimators have asymptotic properties, such as from fixed effects regression models. The central challenge is to both mitigate bias induced from potentially unbalanced samples and to inc