Abstract
In this chapter, we first provide a brief review of Bayesian approaches to finite population inference. We then present Bayesian empirical likelihood methods for the finite population mean as well as general parameters defined through estimating functions. The focus is on how to formulate the inferential procedures under the Bayesian framework, and discussions of design-based frequentist properties of Bayesian point estimators and credible intervals.
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Wu, C., Thompson, M.E. (2020). Bayesian Empirical Likelihood Methods. In: Sampling Theory and Practice. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-44246-0_11
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DOI: https://doi.org/10.1007/978-3-030-44246-0_11
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