Fractional discrete processes: compound and mixed Poisson representations

L Beghin, C Macci - Journal of Applied Probability, 2014 - cambridge.org
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 …

First-exit times of an inverse Gaussian process

P Vellaisamy, A Kumar - Stochastics, 2018 - Taylor & Francis
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 …

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 …

Inverse Gaussian and its inverse process as the subordinators of fractional Brownian motion

A Wyłomańska, A Kumar, R Połoczański, P Vellaisamy - Physical Review E, 2016 - APS
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) …

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 …

Fractional normal inverse Gaussian diffusion

A Kumar, MM Meerschaert, P Vellaisamy - Statistics & probability letters, 2011 - Elsevier
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 …

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 …

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 …

Generalized fractional Laplace motion

J Gajda, A Wyłomańska, A Kumar - Statistics & Probability Letters, 2017 - Elsevier
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 …

[PDF][PDF] A Ψ2 hypergeometric generalized inverse Gaussian distribution

A Saboor, A Khan, S Mubeen - Bothalia journal, 2014 - academia.edu
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 …