ON A MULTIVARIATE GENERALIZED POLYA PROCESS without REGULARITY PROPERTY
- 주제(키워드) characterization of multivariate counting processes , complete intensity functions , dependence structure , generalized polya process , superposition
- 등재 SCIE, SCOPUS
- 발행기관 Cambridge University Press
- 발행년도 2020
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000174773
- 본문언어 영어
- Published As http://dx.doi.org/10.1017/S0269964819000111
초록/요약
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.
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