EconPapers    
Economics at your fingertips  
 

Markov process large deviations in [tau]-topology

Erwin Bolthausen

Stochastic Processes and their Applications, 1987, vol. 25, 95-108

Abstract: The results of Donsker and Varadhan on the probability of large deviations for empirical measures (or occupation measures) of uniformly ergodic Markov processes are extended. Usually the large deviation results are formulated in the weak topology on the set of probability measures. We extend this to the topology which is generated by the integrals over bounded measurable functions.

Keywords: Markov; process; large; deviations; empirical; measures; [tau]-topology (search for similar items in EconPapers)
Date: 1987
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(87)90192-X
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:25:y:1987:i::p:95-108

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:25:y:1987:i::p:95-108