EconPapers    
Economics at your fingertips  
 

On the Weak Convergence of an Empirical Estimator of the Discrete-Time Semi-Markov Kernel

Stylianos Georgiadis () and Nikolaos Limnios ()
Additional contact information
Stylianos Georgiadis: Université de Technologie de Compiègne Centre de Recherches de Royallieu
Nikolaos Limnios: Université de Technologie de Compiègne Centre de Recherches de Royallieu

Chapter Chapter 14 in Applications of Mathematics and Informatics in Military Science, 2012, pp 221-239 from Springer

Abstract: Abstract In this chapter, we consider the discrete-time semi-Markov processes with finite state space and the empirical estimator of the semi-Markov kernel. The basic definitions concerning the semi-Markov processes are presented. We study the weak convergence of the empirical estimator of the discrete-time semi-Markov kernel. Next, we present the corresponding weak convergence theorem for the empirical estimator of some related measures. The proofs of our results are based on semimartingales.

Keywords: Discrete-time semi-Markov kernel; Empirical estimator; Weak convergence; Invariance principle; Semimartingales (search for similar items in EconPapers)
Date: 2012
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:spochp:978-1-4614-4109-0_14

Ordering information: This item can be ordered from
http://www.springer.com/9781461441090

DOI: 10.1007/978-1-4614-4109-0_14

Access Statistics for this chapter

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

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-1-4614-4109-0_14