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Fractional discrete processes: compound and mixed Poisson representations
We consider two fractional versions of a family of nonnegative integer-valued processes. We
prove that their probability mass functions solve fractional Kolmogorov forward equations …
prove that their probability mass functions solve fractional Kolmogorov forward equations …
First-exit times of an inverse Gaussian process
The first-exit time process of an inverse Gaussian Lévy process is considered. The one-
dimensional distribution functions of the process are obtained. They are not infinitely …
dimensional distribution functions of the process are obtained. They are not infinitely …
On fractional tempered stable processes and their governing differential equations
L Beghin - Journal of Computational Physics, 2015 - Elsevier
We derive the governing equation of the Tempered Stable Subordinator (hereafter TSS),
which generalizes the space-fractional differential equation satisfied by the law of the α …
which generalizes the space-fractional differential equation satisfied by the law of the α …
Inverse Gaussian and its inverse process as the subordinators of fractional Brownian motion
In this paper we study the fractional Brownian motion (FBM) time changed by the inverse
Gaussian (IG) process and its inverse, called the inverse to the inverse Gaussian (IIG) …
Gaussian (IG) process and its inverse, called the inverse to the inverse Gaussian (IIG) …
ARMA–GARCH model with fractional generalized hyperbolic innovations
SI Kim - Financial Innovation, 2022 - Springer
In this study, a multivariate ARMA–GARCH model with fractional generalized hyperbolic
innovations exhibiting fat-tail, volatility clustering, and long-range dependence properties is …
innovations exhibiting fat-tail, volatility clustering, and long-range dependence properties is …
Fractional normal inverse Gaussian diffusion
A fractional normal inverse Gaussian (FNIG) process is a fractional Brownian motion
subordinated to an inverse Gaussian process. This paper shows how the FNIG process …
subordinated to an inverse Gaussian process. This paper shows how the FNIG process …
Blues and reliability analysis for general censored data subject to inverse Gaussian distribution
X Wen, Z Wang, H Fu, Q Wu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Working on product lifetime data is of significant importance for evaluating safety and
reliability, predicting remaining useful life and formulating maintenance strategy or …
reliability, predicting remaining useful life and formulating maintenance strategy or …
Higher order fractional stable motion: hyperdiffusion with heavy tails
R Kawai - Journal of Statistical Physics, 2016 - Springer
We introduce the class of higher order fractional stable motions that can exhibit
hyperdiffusive spreading with heavy tails. We define the class as a generalization of higher …
hyperdiffusive spreading with heavy tails. We define the class as a generalization of higher …
Generalized fractional Laplace motion
In this paper, a new stochastic process called generalized fractional Laplace motion (GFLM)
is introduced. This process is obtained by superposition of n th-order fractional Brownian …
is introduced. This process is obtained by superposition of n th-order fractional Brownian …
[PDF][PDF] A Ψ2 hypergeometric generalized inverse Gaussian distribution
In this paper, we introduce a six parameter generalized extended inverse Gaussian density
function involving a confluent hypergeometric function of two variables Ψ2. We derive some …
function involving a confluent hypergeometric function of two variables Ψ2. We derive some …