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文章基本信息

  • 标题:Empirical central limit theorems for ergodic automorphisms of the torus
  • 本地全文:下载
  • 作者:Jérôme Dedecker ; Florence Merlevède ; Françoise Pène
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2013
  • 卷号:X
  • 期号:2
  • 页码:731-766
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:Let T be an ergodic automorphism of the d-dimensional torus Td, andf be a continuous function from Td to R`. On the probability space Td equippedwith the Lebesgue-Haar measure, we prove the weak convergence of the sequentialempirical process of the sequence (f  Ti)i1 under some mild conditions on themodulus of continuity of f. The proofs are based on new limit theorems, on newinequalities for non-adapted sequences, and on new estimates of the conditionalexpectations of f with respect to a natural ltration.
  • 关键词:Empirical distribution function; Kiefer process; Ergodic automor-;phisms of the torus; Moment inequalities.
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