EconPapers    
Economics at your fingertips  
 

A process of runs and its convergence to the brownian motion

B. G. Pittel

Stochastic Processes and their Applications, 1980, vol. 10, issue 1, 33-48

Abstract: Let X1,X2,... be i.i.d. random variables with a continuous distribution function. Let R0=0, Rk=min{j>Rk-1, such that Xj>Xj+1}, k[greater-or-equal, slanted]1. We prove that all finite-dimensional distributions of a process , converge to those of the standard Brownian motion.

Date: 1980
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(80)90003-4
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:10:y:1980:i:1:p:33-48

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:spapps:v:10:y:1980:i:1:p:33-48