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  • 标题:Detection of sparse mixtures: higher criticism and scan statistic
  • 本地全文:下载
  • 作者:Ery Arias-Castro ; Andrew Ying
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2019
  • 卷号:13
  • 期号:1
  • 页码:208-230
  • DOI:10.1214/18-EJS1512
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:We consider the problem of detecting a sparse mixture as studied by Ingster (1997) and Donoho and Jin (2004). We consider a wide array of base distributions. In particular, we study the situation when the base distribution has polynomial tails, a situation that has not received much attention in the literature. Perhaps surprisingly, we find that in the context of such a power-law distribution, the higher criticism does not achieve the detection boundary. However, the scan statistic does.
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