한국통계학회:학술대회논문집 (Proceedings of the Korean Statistical Society Conference)

한국통계학회 (The Korean Statistical Society)
권호 표지

A nonnormal Bayesian imputation

  • Shin Minwoong (Department of Statistics, Hankuk University of Foreign Studies) ;
  • Lee Jinhee (Department of Statistics, Hankuk University of Foreign Studies) ;
  • Lee Juyoung (Division of Epidemiology, Department of Infectious Disease, National Institute of Health) ;
  • Lee Sangeun (Department of Applied Information Statistics, Kyonggi University)
  • 발행 : 2000.11.01
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초록

When the standard inference is to be used with complete data and nonresponse is ignorable, then multiple imputations should be created as repetitions under a Bayesian normal model. Many Bayesian models besides the normal, however, approximately yield the standard inference with complete data and thus many such models can be used to create proper imputations. We consider the Bayesian bootstrap (BB) application.

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