The speed of a general random walk reinforced by its recent history
Ross G. Pinsky
Stochastic Processes and their Applications, 2020, vol. 130, issue 8, 4793-4807
Abstract:
We consider a class of random walks whose increment distributions depend on the average value of the process over its most recent N steps. We investigate the speed of the process, and in particular, the limiting speed as the “history window” N→∞.
Keywords: Random walk with reinforcement; Cramér’s theorem; Legendre–Fenchel transform (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304414920300685
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:130:y:2020:i:8:p:4793-4807
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
DOI: 10.1016/j.spa.2020.01.017
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 ().