Max-Compound Cox Processes. I
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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.
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- 3.R.E. Barlow and F. Proshan, Mathematical Theory of Reliability, Wiley, London (1965).Google Scholar
- 18.V.Yu. Korolev, “Asymptotic properties of extrema of compound Cox processes and their applicationto some problems of financial mathematics,” Theor. Probab. Appl., 45, No. 1, 182–194 (2000).Google Scholar
- 19.V.Yu. Korolev, Probabilistic and Statistical Methods for Decomposition of Volatility of Chaotic Processes, Moscow State University Publishing House, Moscow (2011).Google Scholar
- 20.V.Yu. Korolev, E.V. Arefyeva, Yu. S. Nefedova, A.K. Gorshenin, and R.A. Lazovsky, “A method of estimation of probabilities of catastrophes in non-hopmogeneous flows of extremal events and its application to prediction of earthquakes in Arctic regions,” Prob. Risk An., 13, No. 4, 80–91 (2016).Google Scholar
- 25.L. Senusi-Bereksi and S. Janic, “Two theorems concerning the sequence of maxima of independent random variables,” Lith. Math. J., 24. No. 1, 167–174 (1984).Google Scholar