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  • 标题:A guided random walk through some high dimensional problems
  • 本地全文:下载
  • 作者:Junyong Park University of Maryland ; Baltimore County ; USA Jayanta K. Ghosh Purdue University, USA
  • 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:2010
  • 卷号:72
  • 期号:01
  • 页码:81--100
  • 出版社:Indian Statistical Institute
  • 摘要:We survey some recent work in high dimensional multiple testing estimation and other multivariate inference problems depending on random matrices and graphical problems. Different approaches to these problems are explored featuring classical procedures like the Benjamini-Hochberg multiple tests, empirical Bayes and Bayes tests and estimates and use of shrinkage as a major method in estimation. The choice of topics reflects to some extent our taste and interests.
  • 关键词:High dimensional, multiplicity, sparsity, empirical Bayes, Bayes, shrinkage.
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