Abstract
Let {Mn}n≥0 be a nonnegative time-homogeneous Markov process. The quasistationary distributions referred to in this note are of the form QA(x) = limnn→∞ P(Mn ≤ x | M0 ≥ A, M1 ≥ A, . . . , Mn ≥ A). Suppose that M0 has distribution QA, and define T QAA = min{n | Mn > A, n ≥ 1}, the first time when Mn exceeds A. We provide sufficient conditions for QA(x) to be nonincreasing in A (for fixed x) and for TQAA to be stochastically nondecreasing in A.
| Original language | English |
|---|---|
| Pages (from-to) | 589-595 |
| Number of pages | 7 |
| Journal | Journal of Applied Probability |
| Volume | 48 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2011 |
Keywords
- Changepoint problem
- First exit time
- Markov process
- Quasistationary distribution
- Stationary distribution
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