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Maxima of random particles scores in Markov branching process with continuous time

机译:连续时间马尔可夫分支过程中随机粒子分数的最大值

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摘要

We consider supercritical Markov branching processes with continuous time where every particle has one or two random scores. We are interested in maxima of these scores over the population. The class of nondegenerate limit laws for linear normed maxima is described. Limit copulas, upper and lower tail dependence coefficients are obtained for cases of two scores and two time points. Results are illustrated by the computer simulation.
机译:我们考虑连续时间的超临界马尔可夫分支过程,其中每个粒子都有一个或两个随机分数。我们对人口中这些分数的最大值感兴趣。描述了线性范数最大值的非退化极限定律的类别。对于两个分数和两个时间点的情况,获得了极限系数,上下尾部依赖系数。结果通过计算机仿真说明。

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