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Asymptotic exponentiality of the first exit time of the Shiryaev–Roberts diffusion with constant positive drift

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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 languageEnglish
Pages (from-to)370-383
Number of pages14
JournalSequential Analysis
Volume36
Issue number3
DOIs
StatePublished - 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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