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  • 标题:INFORMATION INEQUALITIES FOR THE MINIMAX RISK
  • 本地全文:下载
  • 作者:Michikazu Sato ; Masafumi Akahira
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:1995
  • 卷号:25
  • 期号:2
  • 页码:151-158
  • DOI:10.14490/jjss1995.25.151
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:This paper presents lower bounds for the minimax risk under quadratic loss, derived from information inequalities for the Bayes risk obtained by Borovkov and Sakhanienko, Brown and Gajek. In addition, admissibility of a minimax estimator is discussed, and we provide examples which illustrate that they are good bounds.
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