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  • 标题:Discussion: Controlling the False Discovery Rate
  • 本地全文:下载
  • 作者:Joseph P. Romano Stanford University ; USA Azeem M. Shaikh University of Chicago ; USA Michael Wolf University of Zurich, Switzerland
  • 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:2008
  • 卷号:70
  • 期号:02
  • 页码:169--176
  • 出版社:Indian Statistical Institute
  • 摘要:It is a pleasure to acknowledge another insightful article by Sarkar. By developing clever expressions for the FDP, FDR, and FNR, he manages to prove fundamental properties of stepdown and stepup methods. It is particularly important that the theory is sufficiently developed so as to apply to what Sarkar calls adaptive BH methods. Here, the goal is to improve upon the Benjamini Hochberg procedure by incorporating a data-dependent estimate of the number of true null hypotheses. Theoretical justification of such methods is vital and Sarkar¡¯s analysis is useful for this purpose.
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