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Counting processes with Bernštein intertimes and random jumps

Enzo Orsingher, +1 more
- 01 Dec 2015 - 
- Vol. 52, Iss: 4, pp 1028-1044
TLDR
In this paper, the authors considered point processes Nf(t), t > 0, with independent increments and integer-valued jumps whose distribution is expressed in terms of Bernstein functions f with Levy measure ν.
Abstract
In this paper we consider point processes Nf(t), t > 0, with independent increments and integer-valued jumps whose distribution is expressed in terms of Bernstein functions f with Levy measure ν. We obtain the general expression of the probability generating functions Gf of Nf, the equations governing the state probabilities pkf of Nf, and their corresponding explicit forms. We also give the distribution of the first-passage times Tkf of Nf, and the related governing equation. We study in detail the cases of the fractional Poisson process, the relativistic Poisson process, and the gamma-Poisson process whose state probabilities have the form of a negative binomial. The distribution of the times τjlj of jumps with height lj (∑j=1rlj = k) under the condition N(t) = k for all these special processes is investigated in detail.

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Journal ArticleDOI

Time-changed space-time fractional Poisson process

TL;DR: In this paper, a time-changed version of the space-time fractional Poisson process (STFPP) by time changing it by an independent Levy subordinator with finite moments of any
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Fractional non-homogeneous Poisson and P\'olya-Aeppli processes of order $k$ and beyond

TL;DR: In this article, a fractional non-homogeneous Poisson Poisson process of order $k$ was introduced and two nonhomogeneous polya-aeppli processes were characterized by deriving their non-local governing equations.
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Superposition of time-changed Poisson processes and their hitting times

TL;DR: In this paper, the authors studied some extensions of the Poisson process of order $i$ for different forms of weights and also with the time-changed versions, with Bern\v stein subordinator playing the role of time.
Journal ArticleDOI

A simple proof of the Lévy–Khintchine formula for subordinators

TL;DR: In this paper, the authors present a relatively simple and mostly elementary proof of the Levy-Khintchine formula for subordinators, which is a compound Poisson process which is easy to investigate using elementary probabilistic techniques, such as conditional expectations, probability generating function and convergence of discrete random variables.
Posted Content

Fractional Skellam Process of Order $k$

K. K. Kataria, +1 more
- 16 Mar 2021 - 
TL;DR: In this article, a fractional version of the Skellam process of order $k$ by time-changing it with an independent inverse stable subordinator is introduced and an integral representation for its one-dimensional distributions and their governing system of fractional differential equations are obtained.
References
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Book

Bernstein Functions: Theory and Applications

TL;DR: In this paper, the authors present a self-contained and unified approach to Bernstein functions and closely related function classes, bringing together old and establishing new connections, and an extensive list of complete Bernstein functions with their representations is provided.
Journal ArticleDOI

Fractional Poisson process

TL;DR: In this article, a fractional non-Markov Poisson stochastic process has been developed based on fractional generalization of the Kolmogorov-Feller equation.
Journal ArticleDOI

The Fractional Poisson Process and the Inverse Stable Subordinator

TL;DR: In this article, it was shown that a traditional Poisson process, with the time variable replaced by an independent inverse stable subordinator, is also a fractional poisson process with Mittag-Leffler waiting times, which unifies the two main approaches in stochastic theory of time-fractional diffusion equations.
Book

The Stability of Matter: From Atoms to Stars

TL;DR: In this paper, the peculiar mechanics of the elementary particles (electrons and nuclei) that constitute ordinary matter so that the material world can have both rich variety and stability are discussed.
Journal ArticleDOI

Generalized gamma measures and shot-noise Cox processes

TL;DR: In this paper, a parametric family of completely random measures, which includes gamma random measures and positive stable random measures as well as inverse Gaussian measures, is defined and used in a shot-noise construction as intensity measures for Cox processes.
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