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Journal of Applied Probability
Article . 2018 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2017
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Article . 2018
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Domains of attraction for positive and discrete tempered stable distributions

Authors: Michael Grabchak;

Domains of attraction for positive and discrete tempered stable distributions

Abstract

Abstract We introduce a large and flexible class of discrete tempered stable distributions, and analyze the domains of attraction for both this class and the related class of positive tempered stable distributions. Our results suggest that these are natural models for sums of independent and identically distributed random variables with tempered heavy tails, i.e. tails that appear to be heavy up to a point, but ultimately decay faster.

Keywords

Probability (math.PR), discrete tempered stable distribution, FOS: Mathematics, Infinitely divisible distributions; stable distributions, domain of attraction, Central limit and other weak theorems, positive tempered stable distribution, Mathematics - Probability

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze