Estimation of the stationary distribution of semi-Markov processes with Borel state space
N. Limnios
Statistics & Probability Letters, 2006, vol. 76, issue 14, 1536-1542
Abstract:
We present an empirical estimator of the stationary distribution of continuous time semi-Markov processes with Borel state space. It comes as a particular case of an estimator of a linear functional of the stationary distribution. We give asymptotic results for strong consistency, and the weak and strong invariance principles.
Keywords: Stationary; distribution; Semi-Markov; process; Markov; renewal; process; Strong; consistency; Weak; invariance; principle; Strong; invariance; principle (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(06)00096-4
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:stapro:v:76:y:2006:i:14:p:1536-1542
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().