首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Moments of randomly stopped sums-revisited
Authors:Henry Teicher
Institution:(1) Rutgers University, New Jersey
Abstract:Conditions are obtained for (*)E|S T |γ<∞, γ>2 whereT is a stopping time and {S n=∑ 1 n ,X j n ,n⩾1} is a martingale and these ensure when (**)X n ,n≥1 are independent, mean zero random variables that (*) holds wheneverET γ/2<∞, sup n≥1 E|X n |γ<∞. This, in turn, is applied to obtain conditions for the validity ofE|S k,T |γ<∞ and of the second moment equationES k,T 2 =σ 2 EΣ j=k T S k−1,j−1 2 where 
$$S_{k,n}  = \sum\nolimits_{1 \leqslant i_t<  \cdots< i_k  \leqslant n} {X_{i_1 } ,...,X_{i_k } ,n \geqslant k \geqslant 2} $$
and {X n , n≥1} satisfies (**) and 
$$EX_n^2  = \sigma ^2< \infty $$
,n≥1. The latter is utilized to elicit information about a moment of a stopping rule. It is also shown for i.i.d. {X n , n≥1} withEX=0,EX 2=1 that the a.s. limit set of {(n log logn)k/2 S k,n ,n≥k} is 0,2 k/2/k!] or −2 k/2/k!] according ask is even or odd and this can readily be reformulated in terms of the corresponding (degenerate kernel)U-statistic 
$$U_{k,n}  = S_{_{_{k,n} } } /(_k^n )$$
.
Keywords:Stopping time  martingale            U-statistic
本文献已被 SpringerLink 等数据库收录!
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