On the quasi-ergodic distribution of absorbing Markov processes

Autor: He, Guoman, Zhang, Hanjun, Zhu, Yixia
Rok vydání: 2016
Předmět:
Zdroj: Statistics and Probability Letters, 2019, 149, pp. 116-123
Druh dokumentu: Working Paper
DOI: 10.1016/j.spl.2019.02.001
Popis: In this paper, we give a sufficient condition for the existence of a quasi-ergodic distribution for absorbing Markov processes. Using an orthogonal-polynomial approach, we prove that the previous main result is valid for the birth-death process on the nonnegative integers with 0 an absorbing boundary and $\infty$ an entrance boundary. We also show that the quasi-ergodic distribution is stochastically larger than the unique quasi-stationary distribution in the sense of monotone likelihood-ratio ordering for the birth-death process.
Comment: This paper is published in Statistics & Probability Letters (2019)
Databáze: arXiv