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zbMATH Open
Article . 2019
Data sources: zbMATH Open
Theory of Probability and Mathematical Statistics
Article . 2019 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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On the governing equations for Poisson and Skellam processes time-changed by inverse subordinators

Authors: Buchak, K. V.; Sakhno, L. M.;

On the governing equations for Poisson and Skellam processes time-changed by inverse subordinators

Abstract

In the paper we present the governing equations for marginal distributions of Poisson and Skellam processes time-changed by inverse subordinators. The equations are given in terms of convolution-type derivatives.

Keywords

inverse subordinator, Sums of independent random variables; random walks, Probability (math.PR), time-change, Poisson process, Processes with independent increments; Lévy processes, Skellam process, FOS: Mathematics, convolution-type derivatives, Point processes (e.g., Poisson, Cox, Hawkes processes), governing equation, Mathematics - Probability

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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!
13
Top 10%
Top 10%
Top 10%
Green
bronze