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ON A MULTIVARIATE GENERALIZED POLYA PROCESS without REGULARITY PROPERTY
- Title
- ON A MULTIVARIATE GENERALIZED POLYA PROCESS without REGULARITY PROPERTY
- Authors
- Cha J.H.; Badía F.G.
- Ewha Authors
- 차지환
- SCOPUS Author ID
- 차지환
- Issue Date
- 2020
- Journal Title
- Probability in the Engineering and Informational Sciences
- ISSN
- 0269-9648
- Citation
- Probability in the Engineering and Informational Sciences vol. 34, no. 4, pp. 484 - 506
- Keywords
- characterization of multivariate counting processes; complete intensity functions; dependence structure; generalized polya process; superposition
- Publisher
- Cambridge University Press
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- Most of the multivariate counting processes studied in the literature are regular processes, which implies, ignoring the types of the events, the non-occurrence of multiple events. However, in practice, several different types of events may occur simultaneously. In this paper, a new class of multivariate counting processes which allow simultaneous occurrences of multiple types of events is suggested and its stochastic properties are studied. For the modeling of such kind of process, we rely on the tool of superposition of seed counting processes. It will be shown that the stochastic properties of the proposed class of multivariate counting processes are explicitly expressed. Furthermore, the marginal processes are also explicitly obtained. We analyze the multivariate dependence structure of the proposed class of counting processes. © Cambridge University Press 2019.
- DOI
- 10.1017/S0269964819000111
- Appears in Collections:
- 자연과학대학 > 통계학전공 > Journal papers
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