Estimation of the stationary distribution of semi-Markov processes with Borel state space
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.
| Year of publication: |
2006
|
|---|---|
| Authors: | Limnios, N. |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 76.2006, 14, p. 1536-1542
|
| Publisher: |
Elsevier |
| Keywords: | Stationary distribution Semi-Markov process Markov renewal process Strong consistency Weak invariance principle Strong invariance principle |
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