Abstract
We first consider a stochastic system described by an absorbing semi-Markov chain with finite state space and we introduce the absorption probability to a class of recurrent states. Afterwards, we study the first hitting probability to a subset of states for an irreducible semi-Markov chain. In the latter case, a nonparametric estimator for the first hitting probability is proposed and the asymptotic properties of strong consistency and asymptotic normality are proven. Finally, a numerical application on a five-state system is presented to illustrate the performance of this estimator.
Original language | English |
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Journal | Communications in Statistics: Theory and Methods |
Volume | 46 |
Issue number | 5 |
Pages (from-to) | 2435-2446 |
Number of pages | 23 |
ISSN | 0361-0926 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- Semi-Markov chains
- Absorption probability
- First hitting probability
- Nonparametric estimator
- Asymptotic properties