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

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Copyright
Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature