scholarly journals Asymptotic analysis of Poisson shot noise processes, and applications

Author(s):  
Giovanni Luca Torrisi ◽  
Emilio Leonardi
2019 ◽  
Vol 22 (2) ◽  
pp. 025701 ◽  
Author(s):  
Naicheng Quan ◽  
Chunmin Zhang ◽  
Tingkui Mu ◽  
Siyuan Li ◽  
Caiyin You

2002 ◽  
Vol 34 (04) ◽  
pp. 798-825 ◽  
Author(s):  
Aleksander M. Iksanov ◽  
Zbigniew J. Jurek

Distributional fixed points of a Poisson shot noise transform (for nonnegative and nonincreasing response functions bounded by 1) are characterized. The tail behavior of fixed points is described. Typically they have either exponential moments or their tails are proportional to a power function, with exponent greater than −1. The uniqueness of fixed points is also discussed. Finally, it is proved that in most cases fixed points are absolutely continuous, apart from the possible atom at zero.


2015 ◽  
Vol 52 (04) ◽  
pp. 1097-1114 ◽  
Author(s):  
Amarjit Budhiraja ◽  
Pierre Nyquist

Shot-noise processes are used in applied probability to model a variety of physical systems in, for example, teletraffic theory, insurance and risk theory, and in the engineering sciences. In this paper we prove a large deviation principle for the sample-paths of a general class of multidimensional state-dependent Poisson shot-noise processes. The result covers previously known large deviation results for one-dimensional state-independent shot-noise processes with light tails. We use the weak convergence approach to large deviations, which reduces the proof to establishing the appropriate convergence of certain controlled versions of the original processes together with relevant results on existence and uniqueness.


2000 ◽  
Vol 37 (03) ◽  
pp. 914-917 ◽  
Author(s):  
Pierre Brémaud

This short note shows that the Lundberg exponential upper bound in the ruin problem of non-life insurance with compound Poisson claims is also valid for the Poisson shot noise delayed-claims model, and that the optimal exponent depends only on the distribution of the total claim per accident, not on the time it takes to honour the claim. This result holds under Cramer's condition.


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