The oscillating random walk
J. H. B. Kemperman
Stochastic Processes and their Applications, 1974, vol. 2, issue 1, 1-29
Abstract:
{Yn;n=0, 1, ...} denotes a stationary Markov chain taking values in Rd. As long as the process stays on the same side of a fixed hyperplane E0, it behaves as an ordinary random walk with jump measure [mu] or [nu], respectively. Thus ordinary random walk would be the special case [mu] = [nu]. Also the process Y'n = Y'n-1-Zn (with the Zn as i.i.d. real random varia bles) may be regarded as a special case. The general process is studied by a Wiener-Hopf type method. Exact formulae are obtained for many quantities of interest. For the special case that the Yn are integral-valued, renewal type conditions are established which are necessary and sufficient for recurrence.
Date: 1974
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(74)90010-6
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:2:y:1974:i:1:p:1-29
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().