A MAXIMAL INEQUALITY AND DEPENDENT MARCINKIEWICZ-ZYGMUND STRONG LAWS
成果类型:
Article
署名作者:
RIO, E
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176988295
发表日期:
1995
页码:
918-937
关键词:
mixing sequences
CONVERGENCE
摘要:
This paper contains some extension of Kolmogorov's maximal inequality to dependent sequences. Next we derive dependent Marcinkiewicz-Zygmund type strong laws of large numbers from this inequality. In particular, for stationary strongly mixing sequences (X(i))(i) (is an element of) (Z) with sequence of mixing coefficients (alpha(n))(n greater than or equal to 0), the Marcinkiewicz-Zygmund SLLN of order p holds if integral(0)(1)[alpha(-1)(t)](p-1)Q(p)(t) dt < infinity, where alpha(-1) denotes the inverse function of the mixing rate function t --> alpha([t]) and Q denotes the quantile function of \X(0)\. The condition is obtained by an interpolation between the condition of Doukhan, Massart and Rio implying the CLT (p = 2) and the integrability of \X(0)\ implying the usual SLLN (p = 1). Moreover, we prove that this condition cannot be improved for stationary sequences and power-type rates of strong mixing.