|
This article is cited in 20 scientific papers (total in 20 papers)
Short Communications
On convergence of distributions of compound Cox processes to stable laws
V. Yu. Korolev M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Abstract:
Necessary and sufficient conditions are presented for weak convergence of one-dimensional distributions of compound doubly stochastic Poisson processes in which jumps have finite variances, whereas no moment-type restrictions are imposed on the controlling process. Criteria of convergence of distributions of these processes to stable laws are presented.
Keywords:
doubly stochastic Poisson process (Cox process), compound Cox process, heavy tails, strictly stable distribution.
Received: 13.11.1997
Citation:
V. Yu. Korolev, “On convergence of distributions of compound Cox processes to stable laws”, Teor. Veroyatnost. i Primenen., 43:4 (1998), 786–792; Theory Probab. Appl., 43:4 (1999), 644–650
Linking options:
https://www.mathnet.ru/eng/tvp2080https://doi.org/10.4213/tvp2080 https://www.mathnet.ru/eng/tvp/v43/i4/p786
|
Statistics & downloads: |
Abstract page: | 534 | Full-text PDF : | 290 | First page: | 33 |
|