EconPapers    
Economics at your fingertips  
 

Time reversal and stationary Gibbs measures

H. Künsch

Stochastic Processes and their Applications, 1984, vol. 17, issue 1, 159-166

Abstract: Markov chains on an infinite product space are considered whose transition kernel is of the Gibbsian type. It is proved that then a stationary probability measure is Gibbsian if and only if the transition kernel of the reversed chain is also Gibbsian.

Keywords: infinite; particle; systems; Gibbs; measures; interaction; time; reversal; stationary; measures; for; Markov; chains (search for similar items in EconPapers)
Date: 1984
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(84)90318-1
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:17:y:1984:i:1:p:159-166

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:17:y:1984:i:1:p:159-166