Journal article

Fractionally Integrated Inverse Stable Subordinators

Year:

2017

Published in:

Stochastic Processes and their Applications
Hölder continuity
Inverse stable subordinator
Lamperti representation
Law of iterated logarithm
Renewal shot noise process
Self-similarity
Weak convergence in the Skorokhod space

A fractionally integrated inverse stable subordinator (FIISS) is the convolution of an inverse stable subordinator, also known as a Mittag-Leffler process, and a power function. We show that the FIISS is a scaling limit in the Skorokhod space of a renewal shot noise process with heavy-tailed, infinite mean ‘inter-shot’ distribution and regularly varying response function. We prove local Hölder continuity of FIISS and a law of iterated logarithm for both small and large times.

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