Martingale Characterizations of Non-Homogeneous Counting Processes and Their Fractional Variants

Fuente: arXiv
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Autores principales: Tathe, Kartik, Ghosh, Sayan
Formato: Preprint
Publicado: 2025
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author Tathe, Kartik
Ghosh, Sayan
author_facet Tathe, Kartik
Ghosh, Sayan
contents This paper investigates the martingale characterizations of non-homogeneous counting processes and their fractional generalizations. We show that the weighted sum of non-homogeneous Poisson processes (NPPs) is the non-homogeneous generalized counting process (NGCP). Both the compensated and exponential forms of martingale characterization for NGCP are obtained, and are shown to be equivalent. Moreover, we provide martingale characterizations for various time-changed variants of the NGCP and their Skellam versions using stable and/or inverse stable subordinators.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14328
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Martingale Characterizations of Non-Homogeneous Counting Processes and Their Fractional Variants
Tathe, Kartik
Ghosh, Sayan
Probability
This paper investigates the martingale characterizations of non-homogeneous counting processes and their fractional generalizations. We show that the weighted sum of non-homogeneous Poisson processes (NPPs) is the non-homogeneous generalized counting process (NGCP). Both the compensated and exponential forms of martingale characterization for NGCP are obtained, and are shown to be equivalent. Moreover, we provide martingale characterizations for various time-changed variants of the NGCP and their Skellam versions using stable and/or inverse stable subordinators.
title Martingale Characterizations of Non-Homogeneous Counting Processes and Their Fractional Variants
topic Probability
url https://arxiv.org/abs/2511.14328