Ergodic properties of random measures on stationary sequences of sets
Aaron Gross and
James B. Robertson
Stochastic Processes and their Applications, 1993, vol. 46, issue 2, 249-265
Abstract:
We study a class of stationary sequences having spectral representation (M([tau]nA))n[epsilon], where A is a set in a measure space (E, , [mu]), [tau] is an invertible measure-preserving transformation on (E, , [mu]), and M is a random measure on (E, , [mu]). We explore the relationship between the ergodic properties of the sequence and the properties of [tau], and construct examples with various ergodic properties using a stacking method on the half-line [0, [infinity]).
Keywords: mixing; spectral; representation; infinitely; divisible; stacking; method (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(93)90006-P
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:46:y:1993:i:2:p:249-265
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 ().