Independence times for iid sequences, random walks and Levy processes

被引:0
|
作者
Vidmar, Matija [1 ,2 ]
机构
[1] Univ Ljubljana, Dept Math, Ljubljana, Slovenia
[2] Inst Math Phys & Mech, Ljubljana, Slovenia
关键词
Processes with stationary independent values; Processes with stationary independent increments; Independence; Strong Markov property; Path decompositions; REGULAR BIRTH; MARKOV; DEATH;
D O I
10.1016/j.spa.2018.10.003
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For a sequence in discrete time having stationary independent values (respectively, random walk) X, those random times R of X are characterized set-theoretically, for which the strict post-R sequence (respectively, the process of the increments of X after R) is independent of the history up to R. For a Levy process X and a random time R of X, reasonably useful sufficient conditions and a partial necessary condition on R are given, for the process of the increments of X after R to be independent of the history up to R. (C) 2018 Elsevier B.V. All rights reserved.
引用
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页码:3619 / 3637
页数:19
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