Some equations are provided for the Variance Gamma process using the definition other than that based on a time-changed Brownian motion. A new nonlocal equation is obtained involving generalized Weyl derivatives, which is true even in the drifted case. The connection to special functions is in focus, and a space equation for the process is studied. In conclusion, the convergence in distribution of a compound Poisson process to the Variance Gamma process is observed
Recently, probability models with thicker or thinner tails have gained more importance among statist...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
The paper analyzes the regressive equation for cumulative excess returns with residual conditional v...
This Demonstration shows the graphs of the density function of the unit period of a variance gamma p...
Variance gamma process is a three parameter process. Variance gamma process is simulated as a gamma ...
We introduce and study fractional generalizations of the well-known Gamma process, in the following ...
A lot of abnormalities occur in real-life scenarios, thus leading to some difficulties in modelling ...
In this research we try to consider the problem of applying the Nonhomogeneous Poisson process to tr...
The non-stationary Gamma process is a widely used mathematical model to describe degradation phenome...
Brownian motion can be characterized as a generalized random process and, as such, has a generalized...
We show that the increments of generalized Wiener process, useful to describe non-Gaussian white noi...
We study algorithms for sampling discrete-time paths of a gamma process and a variance gamma process...
We study the distribution of the stochastic integral [integral operator]0t8e-Rt dPt where R is a Bro...
Dufresne et al. (1991) introduced a general risk model defined as the limit of compound Poisson proc...
Abstract. This paper consists of three parts: in the first part, we de-scribe a family of generalize...
Recently, probability models with thicker or thinner tails have gained more importance among statist...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
The paper analyzes the regressive equation for cumulative excess returns with residual conditional v...
This Demonstration shows the graphs of the density function of the unit period of a variance gamma p...
Variance gamma process is a three parameter process. Variance gamma process is simulated as a gamma ...
We introduce and study fractional generalizations of the well-known Gamma process, in the following ...
A lot of abnormalities occur in real-life scenarios, thus leading to some difficulties in modelling ...
In this research we try to consider the problem of applying the Nonhomogeneous Poisson process to tr...
The non-stationary Gamma process is a widely used mathematical model to describe degradation phenome...
Brownian motion can be characterized as a generalized random process and, as such, has a generalized...
We show that the increments of generalized Wiener process, useful to describe non-Gaussian white noi...
We study algorithms for sampling discrete-time paths of a gamma process and a variance gamma process...
We study the distribution of the stochastic integral [integral operator]0t8e-Rt dPt where R is a Bro...
Dufresne et al. (1991) introduced a general risk model defined as the limit of compound Poisson proc...
Abstract. This paper consists of three parts: in the first part, we de-scribe a family of generalize...
Recently, probability models with thicker or thinner tails have gained more importance among statist...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
The paper analyzes the regressive equation for cumulative excess returns with residual conditional v...