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Journal Articles Stochastic Processes and their Applications Year : 2022

Change-level detection for Lévy subordinators


Let X = (Xt)t≥0 be a process behaving as a general increasing Lévy process (subordinator) prior to hitting a given unknown level m0, then behaving as another different subordinator once this threshold is crossed. This paper addresses the detection of this unknown threshold m0 ∈ [0, +∞] from an observed trajectory of the process. These kind of model and issue are encountered in many areas such as reliability and quality control in degradation problems. More precisely, we construct, from a sample path and for each ε > 0, a so-called detection level Lε by considering a CUSUM inspired procedure. Under mild assumptions, this level is such that, while m0 is infinite (i.e. when no changes occur), its expectation E∞(Lε) tends to +∞ as ε tends to 0, and the expected overshoot Em0 ([Lε − m0]+), while the threshold m0 is finite, is negligible compared to E∞(Lε) as ε tends to 0. Numerical illustrations are provided when the L ́evy processes are gamma processes with different shape parameters. 
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Dates and versions

hal-03880035 , version 1 (30-11-2022)


  • HAL Id : hal-03880035 , version 1


Zeina Al Masry, Landy Rabehasaina, Ghislain Verdier. Change-level detection for Lévy subordinators. Stochastic Processes and their Applications, 2022, 147, pp.423 - 455. ⟨hal-03880035⟩
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