Fully Bayesian estimation under informative sampling

  title={Fully Bayesian estimation under informative sampling},
  author={Luis G. Le{\'o}n-Novelo and Terrance D. Savitsky},
  journal={Electronic Journal of Statistics},
Bayesian estimation is increasingly popular for performing model based inference to support policymaking. These data are often collected from surveys under informative sampling designs where subject inclusion probabilities are designed to be correlated with the response variable of interest. Sampling weights constructed from marginal inclusion probabilities are typically used to form an exponentiated pseudo likelihood that adjusts the population likelihood for estimation on the sample due to… Expand

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