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  • 标题:On the Bernstein-von Mises theorem for the Dirichlet process
  • 本地全文:下载
  • 作者:Kolyan Ray ; Aad van der Vaart
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2021
  • 卷号:15
  • 期号:1
  • 页码:2224-2246
  • DOI:10.1214/21-EJS1821
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:We establish that Laplace transforms of the posterior Dirichlet process converge to those of the limiting Brownian bridge process in a neighbourhood about zero, uniformly over Glivenko-Cantelli function classes. For real-valued random variables and functions of bounded variation, we strengthen this result to hold for all real numbers. This last result is proved via an explicit strong approximation coupling inequality.
  • 关键词:60F17; 62G15; 62G20; Bayesian nonparametrics; Bernstein–Von Mises; Dirichlet process; strong approximation
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