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Characterization and analysis of generalized grey incomplete gamma noise
Linnaeus University, Faculty of Technology, Department of Mathematics.ORCID iD: 0000-0002-8400-0416
University of Luxembourg, Luxembourg.
2024 (English)In: Stochastics: An International Journal of Probablitiy and Stochastic Processes, ISSN 1744-2508, E-ISSN 1744-2516Article in journal (Refereed) Epub ahead of print
Abstract [en]

The grey incomplete gamma distributions was established by one of the authors in a previous publication. In this article we use the Kondratiev characterization theorem to identify those via a suitable Laplace transform with holomorphic functions with suitable properties. We establish theorems for the integration and convergence of sequences of these distributions. As direct applications of these analytic tools we give the examples of Donsker's delta function, identify the time-derivative of the process as a suitable distribution and define the Gamma grey Ornstein-Uhlenbeck process.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2024.
Keywords [en]
Non-Gaussian analysis, gamma-grey noise, fractional Ornstein-Uhlenbeck process, characterization theorems, Donsker delta function
National Category
Mathematics
Research subject
Natural Science, Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-131996DOI: 10.1080/17442508.2024.2383619ISI: 001280408900001Scopus ID: 2-s2.0-85200047355OAI: oai:DiVA.org:lnu-131996DiVA, id: diva2:1891117
Note

Bibliografiskt granskad

Available from: 2024-08-21 Created: 2024-08-21 Last updated: 2025-04-28

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Bock, Wolfgang

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