Abstract
In this paper, we find and develop a stochastic integral representation for the class of strictly stable distributions. We establish an explicit relationship between stochastic integral and shot-noise series representations of strictly stable distributions, which shows that the class of distributions representable by stochastic integral is larger than the class representable by a shot-noise series. This inclusion is proper when the stability index \(\alpha \) is greater than 1. We also give an explicit description of distributions possessing both representations.
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Makoto Maejima’s research was partially supported by JSPS Grant-in-Aid for Science Research 22340021. Jan Rosiński’s research was partially supported by the Simons Foundation grant 281440.
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Maejima, M., Rosiński, J. & Ueda, Y. Stochastic Integral and Series Representations for Strictly Stable Distributions. J Theor Probab 28, 989–1006 (2015). https://doi.org/10.1007/s10959-013-0518-8
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DOI: https://doi.org/10.1007/s10959-013-0518-8