In this article, we introduce the Skellam process of order k and its running average. We also discuss the time-changed Skellam process of order k. In particular, we discuss the space-fractional Skellam process and tempered space-fractional Skellam process via time changes in Skellam process by independent stable subordinator and tempered stable subordinator, respectively. We derive the marginal probabilities, Lévy measures, governing difference-differential equations of the introduced processes. Our results generalize the Skellam process and running average of Poisson process in several directions
We study here different fractional versions of the compound Poisson process. The fractionality is in...
This work concerns the fractional Poisson process and its properties. The aim of this work is to der...
High-frequency data are observations collected at fine time scale. Such data largely incorporates pr...
In this article, we introduce the Skellam process of order k and its running average. We also discus...
The recent literature on high frequency financial data includes models that use the difference of tw...
The space-fractional Poisson process is a time-changed homogeneous Poisson process where the time ch...
We generate the fractional Poisson process by subordinating the standard Poisson process to the inve...
We introduce two classes of point processes: a fractional non-homogeneous Poisson process of order k...
In this article, we introduce mixtures of tempered stable subordinators (TSS). These mixtures define...
In this article, we introduce mixtures of tempered stable subordinators (TSS). These mixtures define...
In this article, the first hitting times of generalized Poisson processes Nf(t), related to Bernštei...
In this paper, we introduce the space-fractional Poisson process whose state probabilities p(k)(alph...
In this article, we derive the state probabilities of different type of space- and time-fractional P...
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 study here different fractional versions of the compound Poisson process. The fractionality is in...
This work concerns the fractional Poisson process and its properties. The aim of this work is to der...
High-frequency data are observations collected at fine time scale. Such data largely incorporates pr...
In this article, we introduce the Skellam process of order k and its running average. We also discus...
The recent literature on high frequency financial data includes models that use the difference of tw...
The space-fractional Poisson process is a time-changed homogeneous Poisson process where the time ch...
We generate the fractional Poisson process by subordinating the standard Poisson process to the inve...
We introduce two classes of point processes: a fractional non-homogeneous Poisson process of order k...
In this article, we introduce mixtures of tempered stable subordinators (TSS). These mixtures define...
In this article, we introduce mixtures of tempered stable subordinators (TSS). These mixtures define...
In this article, the first hitting times of generalized Poisson processes Nf(t), related to Bernštei...
In this paper, we introduce the space-fractional Poisson process whose state probabilities p(k)(alph...
In this article, we derive the state probabilities of different type of space- and time-fractional P...
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 study here different fractional versions of the compound Poisson process. The fractionality is in...
This work concerns the fractional Poisson process and its properties. The aim of this work is to der...
High-frequency data are observations collected at fine time scale. Such data largely incorporates pr...