Case-Deletion Importance Sampling Estimators : Central Limit Theorems and Related Results

@inproceedings{Epifani2005CaseDeletionIS,
  title={Case-Deletion Importance Sampling Estimators : Central Limit Theorems and Related Results},
  author={Ilenia Epifani and Steven MacEachern and Mario Peruggia},
  year={2005}
}
Case-deleted analysis is a popular method for evaluating the influence of a subset of cases on inference. The use of Monte Carlo estimation strategies in complicated Bayesian settings leads naturally to the use of importance sampling techniques to assess the divergence between full-data and case-deleted posteriors and to provide estimates under the case-deleted posteriors. However, the dependability of the importance sampling estimators depends critically on the variability of the case-deleted… CONTINUE READING
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