EconPapers    
Economics at your fingertips  
 

Moderate Deviation Principle for Ergodic Markov Chain. Lipschitz Summands

Bernard Delyon (), Anatoly Juditsky () and Robert Liptser ()
Additional contact information
Bernard Delyon: Université de Rennes 1, IRISA
Anatoly Juditsky: University Joseph Fourier of Grenoble
Robert Liptser: Tel Aviv University, Department of Electrical Engineering-Systems

A chapter in From Stochastic Calculus to Mathematical Finance, 2006, pp 189-209 from Springer

Keywords: Markov Chain; Invariant Measure; Poisson Equation; Gaussian Random Variable; Dependent Random Variable (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-540-30788-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9783540307884

DOI: 10.1007/978-3-540-30788-4_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-540-30788-4_9