Abstract
We consider the first exit time of a Shiryaev–Roberts diffusion with constant positive drift from the interval [0,A] with A>0 fixed. We show that the moment generating function (Laplace transform) of a suitably standardized version of the first exit time converges to that of the unit-mean exponential distribution as A→+∞. The proof is explicit in that the moment generating function of the first exit time is first expressed analytically and in a closed form and then the desired limit as A→+∞ is evaluated directly. The result is of importance in the area of quickest change-point detection, and its discrete-time counterpart has been previously established—although in a different manner—by Pollak and Tartakovsky (2009a).
| Original language | English |
|---|---|
| Pages (from-to) | 370-383 |
| Number of pages | 14 |
| Journal | Sequential Analysis |
| Volume | 36 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 3 2017 |
Keywords
- Convergence of probability measures
- Generalized Shiryaev–Roberts procedure
- Laplace transform
- Markov diffusion
- Whittaker functions
- first exit time
- moment generating function
- quickest change-point detection
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