Generalized fractional negative binomial process
Ritik Soni and
Ashok Kumar Pathak
Statistics & Probability Letters, 2024, vol. 207, issue C
Abstract:
In this paper, we introduce a generalized fractional negative binomial process (GFNBP) by time changing the fractional Poisson process with an independent Mittag-Leffler (ML) Lévy subordinator. We study its distributional properties and its connection to PDEs. We examine the long-range dependence (LRD) property of the GFNBP and show that it is not infinitely divisible. The space-fractional and the non-homogeneous variants of the GFNBP are explored. Finally, simulated sample paths for the ML Lévy subordinator and the GFNBP are also presented.
Keywords: Fractional negative binomial process; Mittag-Leffler Lévy process; Stable subordinators; Infinite divisibility; PDEs (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715223002444
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:207:y:2024:i:c:s0167715223002444
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2023.110021
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().