The space-fractional Poisson process is a time-changed homogeneous Poisson process where the time change is an independent stable subordinator. In this paper, a further generalization is discussed that preserves the Lévy property. We introduce a generalized process by suitably time-changing a superposition of weighted space-fractional Poisson processes. This generalized process can be related to a specific subordinator for which it is possible to explicitly write the characterizing Lévy measure. Connections are highlighted to Prabhakar derivatives, specific convolution-type integral operators. Finally, we study the effect of introducing Prabhakar derivatives also in time
In this paper, we introduce a space fractional negative binomial process (SFNB) by time-changing the...
article in press: T.M. Michelitsch and A.P. Riascos, Continuous time random walk and diffusion with ...
We consider the renewal counting number process N = N(t) as a forward march over the non-negative in...
We introduce a non-homogeneous fractional Poisson process by replacing the time variable in the frac...
We generate the fractional Poisson process by subordinating the standard Poisson process to the inve...
We consider some fractional extensions of the recursive differential equation governing the Poisson ...
In this paper, we introduce the space-fractional Poisson process whose state probabilities p(k)(alph...
The space-fractional and the time-fractional Poisson processes are two well-known models of fraction...
The fractional nonhomogeneous Poisson process was introduced by a time change of the nonhomogeneous ...
In this article, the first hitting times of generalized Poisson processes Nf(t), related to Bernštei...
In this paper we present multivariate space-time fractional Poisson processes by considering common ...
It is our intention to provide via fractional calculus a generalization of the pure and compound...
We introduce two classes of point processes: a fractional non-homogeneous Poisson process of order k...
The fractional Poisson process (FPP) is a counting process with independent and identically distribu...
In this article, we derive the state probabilities of different type of space- and time-fractional P...
In this paper, we introduce a space fractional negative binomial process (SFNB) by time-changing the...
article in press: T.M. Michelitsch and A.P. Riascos, Continuous time random walk and diffusion with ...
We consider the renewal counting number process N = N(t) as a forward march over the non-negative in...
We introduce a non-homogeneous fractional Poisson process by replacing the time variable in the frac...
We generate the fractional Poisson process by subordinating the standard Poisson process to the inve...
We consider some fractional extensions of the recursive differential equation governing the Poisson ...
In this paper, we introduce the space-fractional Poisson process whose state probabilities p(k)(alph...
The space-fractional and the time-fractional Poisson processes are two well-known models of fraction...
The fractional nonhomogeneous Poisson process was introduced by a time change of the nonhomogeneous ...
In this article, the first hitting times of generalized Poisson processes Nf(t), related to Bernštei...
In this paper we present multivariate space-time fractional Poisson processes by considering common ...
It is our intention to provide via fractional calculus a generalization of the pure and compound...
We introduce two classes of point processes: a fractional non-homogeneous Poisson process of order k...
The fractional Poisson process (FPP) is a counting process with independent and identically distribu...
In this article, we derive the state probabilities of different type of space- and time-fractional P...
In this paper, we introduce a space fractional negative binomial process (SFNB) by time-changing the...
article in press: T.M. Michelitsch and A.P. Riascos, Continuous time random walk and diffusion with ...
We consider the renewal counting number process N = N(t) as a forward march over the non-negative in...