Klüppelberg, Claudia; Mikosch, Thomas; Schärf, Anette Regular variation in the mean and stable limits for Poisson shot noise. (English) Zbl 1044.60013 Bernoulli 9, No. 3, 467-496 (2003). The authors study the limiting behaviour of Poisson shot noise when the limits are infinite-variance stable processes. In this context a sufficient condition for this convergence turns up which is closely related to multivariate regular variation. The authors also show that the latter condition is necessary and sufficient for the weak convergence of the point processes constructed from the normalized noise sequence and also for the weak convergence of its extremes. Reviewer: Zdzislaw Rychlik (Lublin) Cited in 24 Documents MSC: 60F05 Central limit and other weak theorems 60G55 Point processes (e.g., Poisson, Cox, Hawkes processes) 60E07 Infinitely divisible distributions; stable distributions Keywords:Poisson random measure; infinitely divisible distribution; multivariate regular variation; self-similar process; stable process; weak convergence PDF BibTeX XML Cite \textit{C. Klüppelberg} et al., Bernoulli 9, No. 3, 467--496 (2003; Zbl 1044.60013) Full Text: DOI OpenURL