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  • 标题:Moderate Deviations for Ewens-Pitman Sampling Models
  • 作者:Stefano Favaro ; Shui Feng ; Fuqing Gao
  • 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:2018
  • 卷号:80
  • 期号:2
  • 页码:330-341
  • DOI:10.1007/s13171-018-0124-z
  • 语种:English
  • 出版社:Indian Statistical Institute
  • 摘要:Consider a population of individuals belonging to an infinity number of types, and assume that type proportions follow the Poisson-Dirichlet distribution with parameter α ∈ [0,1) and 𝜃 > − α . Given a sample of size n from the population, two important statistics are the number K n of different types in the sample, and the number M l , n of different types with frequency l in the sample. We establish moderate deviation principles for ( K n ) n ≥ 1 and ( M l , n ) n ≥ 1. Corresponding rate functions are explicitly identified, which help in revealing a critical scale and in understanding the exact role of the parameters α and 𝜃 .
  • 关键词:α -diversity ; Large and moderate deviations ; Poisson-Dirichlet distribution ; Random partition
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