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Convoluted fractional Poisson process of order k.

Authors :
Sengar, Ayushi S.
Upadhye, Neelesh S.
Source :
Stochastics: An International Journal of Probability & Stochastic Processes. Nov2023, Vol. 95 Issue 7, p1170-1191. 22p.
Publication Year :
2023

Abstract

In this article, we define a convoluted fractional Poisson process of order k (CFPPoK), which is governed by the discrete convolution operator in the system of fractional differential equations. Next, we obtain its one-dimensional distribution by using the Laplace transform of its state probabilities. Various distributional properties, such as probability generating function, moment generating function and moments, are derived. A special case of CFPPoK, (say) convoluted Poisson process of order k (CPPoK) is studied and also established Martingale characterization for CPPoK. We further derive the covariance structure of CFPPoK and investigate the long-range dependence property. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17442508
Volume :
95
Issue :
7
Database :
Academic Search Index
Journal :
Stochastics: An International Journal of Probability & Stochastic Processes
Publication Type :
Academic Journal
Accession number :
170717549
Full Text :
https://doi.org/10.1080/17442508.2023.2165399