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  • 标题:Frequentist Properties of Bayesian Multiplicity Control for Multiple Testing of Normal Means
  • 本地全文:下载
  • 作者:Sean Chang ; James O. Berger
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2020
  • 卷号:82
  • 期号:2
  • 页码:310-329
  • DOI:10.1007/s13171-019-00192-1
  • 出版社:Indian Statistical Institute
  • 摘要:Abstract We consider the standard problem of multiple testing of normal means, obtaining Bayesian multiplicity control by assuming that the prior inclusion probability (the assumed equal prior probability that each mean is nonzero) is unknown and assigned a prior distribution. The asymptotic frequentist behavior of the Bayesian procedure is studied, as the number of tests grows. Studied quantities include the false positive probability, which is shown to go to zero asymptotically. The asymptotics of a Bayesian decision-theoretic approach are also presented.
  • 关键词:Multiple hypothesis testing;spike-and-slab prior;multiplicity control;false positive probability.
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