On Quasi-Infinitely Divisible Distributions with a Point Mass
David Berger

TL;DR
This paper characterizes quasi-infinitely divisible distributions with a point mass, explores their properties, and demonstrates their connection to certain variance mixtures of normal distributions, expanding understanding of their structure and topology.
Contribution
It provides a characterization of quasi-infinitely divisible distributions with point masses, analyzes their properties, and discusses their topological structure in the space of probability measures.
Findings
Distribution with a point mass is quasi-infinitely divisible iff its characteristic function never vanishes.
Certain variance mixtures of normal distributions are quasi-infinitely divisible.
The class of quasi-infinitely divisible distributions is path-connected but not open.
Abstract
An infinitely divisible distribution on is a probability measure such that the characteristic function has a L\'{e}vy-Khintchine representation with characteristic triplet , where is a L\'{e}vy measure, and . A natural extension of such distributions are quasi-infinitely distributions. Instead of a L\'{e}vy measure, we assume that is a "signed L\'{e}vy measure", for further information on the definition see [\ref{Lindner}]. We show that a distribution with and , where is the absolutely continuous part, is quasi-infinitely divisible if and only if for every . We apply this to show that certain variance mixtures of mean zero normal distributions are quasi-infinitely divisible distributions, and…
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