On the Multivariate Generalized Counting Process and its Time-Changed Variants

Fuente: arXiv
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Main Authors: Kataria, K. K., Dhillon, M.
Format: Preprint
Published: 2024
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author Kataria, K. K.
Dhillon, M.
author_facet Kataria, K. K.
Dhillon, M.
contents In this paper, we study a multivariate version of the generalized counting process (GCP) and discuss its various time-changed variants. The time is changed using random processes such as the stable subordinator, inverse stable subordinator, and their composition, tempered stable subordinator, gamma subordinator $etc.$ Several distributional properties that include the probability generating function, probability mass function and their governing differential equations are obtained for these variants. It is shown that some of these time-changed processes are Lévy and for such processes we have derived the associated Lévy measure. The explicit expressions for the covariance and codifference of the component processes for some of these time-changed variants are obtained. An application of the multivariate generalized space fractional counting process to shock models is discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06156
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the Multivariate Generalized Counting Process and its Time-Changed Variants
Kataria, K. K.
Dhillon, M.
Probability
Primary: 60G22, 60G52, Secondary: 26A33, 33E12
In this paper, we study a multivariate version of the generalized counting process (GCP) and discuss its various time-changed variants. The time is changed using random processes such as the stable subordinator, inverse stable subordinator, and their composition, tempered stable subordinator, gamma subordinator $etc.$ Several distributional properties that include the probability generating function, probability mass function and their governing differential equations are obtained for these variants. It is shown that some of these time-changed processes are Lévy and for such processes we have derived the associated Lévy measure. The explicit expressions for the covariance and codifference of the component processes for some of these time-changed variants are obtained. An application of the multivariate generalized space fractional counting process to shock models is discussed.
title On the Multivariate Generalized Counting Process and its Time-Changed Variants
topic Probability
Primary: 60G22, 60G52, Secondary: 26A33, 33E12
url https://arxiv.org/abs/2407.06156