首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   21篇
  国内免费   2篇
  数学   23篇
  2018年   1篇
  2013年   2篇
  2012年   2篇
  2011年   1篇
  2010年   1篇
  2007年   1篇
  2006年   2篇
  2003年   1篇
  2001年   1篇
  1999年   1篇
  1998年   1篇
  1997年   1篇
  1996年   1篇
  1994年   1篇
  1993年   1篇
  1986年   1篇
  1985年   1篇
  1982年   2篇
  1981年   1篇
排序方式: 共有23条查询结果,搜索用时 109 毫秒
1.
Almost-Sure Results for a Class of Dependent Random Variables   总被引:17,自引:0,他引:17  
The aim of this note is to establish almost-sure Marcinkiewicz-Zygmund type results for a class of random variables indexed by d + —the positive d-dimensional lattice points—and having maximal coefficient of correlation strictly smaller than 1. The class of applications include filters of certain Gaussian sequences and Markov processes.  相似文献
2.
The aim of this paper is to investigate the properties of the maximum of partial sums for a class of weakly dependent random variables which includes the instantaneous filters of a Gaussian sequence having a positive continuous spectral density. The results are used to obtain an invariance principle for strongly mixing sequences of random variables in the absence of stationarity or strong mixing rates. An additional condition is imposed to the coefficients of interlaced mixing. The results are applied to linear processes of strongly mixing sequences.  相似文献
3.
Convergence rates of the strong law for stationary mixing sequences   总被引:8,自引:0,他引:8  
Summary In this note we estimate the rate of convergence in Marcinkiewicz-Zygmung strong law, for partial sumsS n of strong stationary mixing sequences of random variables. The results improve the corresponding ones obtained by Tze Leung Lai (1977) and Christian Hipp (1979).  相似文献
4.
The aim of this paper is to investigate the properties of the maximum of partial sums for a class of weakly dependent random variables which includes the instantaneous filters of a Gaussian sequence having a positive continuous spectral density. The results are used to obtain an invariance principle and the convergence of the moments in the central limit theorem.

  相似文献

5.
In this paper we present a Bernstein-type tail inequality for the maximum of partial sums of a weakly dependent sequence of random variables that is not necessarily bounded. The class considered includes geometrically and subgeometrically strongly mixing sequences. The result is then used to derive asymptotic moderate deviation results. Applications are given for classes of Markov chains, iterated Lipschitz models and functions of linear processes with absolutely regular innovations.  相似文献
6.
7.
8.
9.
The aim of this paper is to give a functional form for the central limit theorem obtained by Bradley for strong mxing sequences of random variables, under a certain assumption about the size of the maximal coefficients of correlations. The convergence of the moments of order 2 + δ in the central limit theorem for this class of random variables is also obtained.  相似文献
10.
In this note we investigate the coupling of a class of dependent sequences with an independent one having the same marginal distributions. This method is then used to prove that a uniform law of averages for this class holds if a similar law holds for the associated independent sequence.  相似文献
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号