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  • 标题:The sparse Poisson means model
  • 本地全文:下载
  • 作者:Ery Arias-Castro ; Meng Wang
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2015
  • 卷号:9
  • 期号:2
  • 页码:2170-2201
  • DOI:10.1214/15-EJS1066
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:We consider the problem of detecting a sparse Poisson mixture. Our results parallel those for the detection of a sparse normal mixture, pioneered by Ingster (1997) and Donoho and Jin (2004), when the Poisson means are larger than logarithmic in the sample size. In particular, a form of higher criticism achieves the detection boundary in the whole sparse regime. When the Poisson means are smaller than logarithmic in the sample size, a different regime arises in which simple multiple testing with Bonferroni correction is enough in the sparse regime. We present some numerical experiments that confirm our theoretical findings.
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