Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood
不等概率抽样下的贝叶斯指数倾斜经验似然推断
Summary Fully Bayesian inference in the presence of unequal probability sampling requires stronger structural assumptions on the data-generating distribution than frequentist semiparametric methods, but offers the potential for improved small-sample inference and convenient evidence synthesis. We demonstrate that the Bayesian exponentially tilted empirical likelihood can be used to combine the practical benefits of Bayesian inference with the robustness and attractive…