Published March 28, 2019
| Version v1
Journal article
Max-Compound Cox Processes. I
- 1. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics (Russian Federation)
- 2. Russian Academy of Sciences, Federal Research Center "Computer Science and Control" (Russian Federation)
Description
Extreme values are considered in samples with random size that have a mixed Poisson distribution that is generated by a doubly stochastic Poisson process. Some inequalities are proved relating the distributions and moments of extrema with those of the leading process (the mixing distribution). Limit theorems are proved for the distributions of max-compound Cox processes, and limit distributions are described. An important particular case of the negative binomial distribution of a sample size corresponding to the case where the Cox process is led by a gamma Lévy process is considered, explaining a possible genesis of tempered asymptotic models.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Mathematical Sciences
- Journal Volume
- 237
- Journal Issue
- 6
- Journal Page Range
- p. 789-803
- ISSN
- 1072-3374
- CODEN
- JMTSEW
Conference
- Title
- 34. International Seminar on Stability Problems for Stochastic Models
- Dates
- 25-29 Aug 2017
- Place
- Debrecen (Hungary)
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51085082
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ASYMPTOTIC SOLUTIONS; DISTRIBUTION; ORIGIN; RANDOMNESS; STOCHASTIC PROCESSES
- Descriptors DEC
- MATHEMATICAL SOLUTIONS
Optional Information
- Copyright
- Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature