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首页> 外文期刊>Stochastic Processes and Their Applications: An Official Journal of the Bernoulli Society for Mathematical Statistics and Probability >Convex large deviation rate functions under mixtures of linear transformations, with an application to ruin theory
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Convex large deviation rate functions under mixtures of linear transformations, with an application to ruin theory

机译:线性变换混合下的凸大偏差率函数及其在破产理论中的应用

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摘要

Let X_1,X_2,… be a sequence of random vectors taking values in . Let be a random d′×d matrix which is independent of the process {Xn}. Suppose that {Xn} satisfies the large deviations upper or lower bounds with a convex rate function. Starting with this, we derive large deviations statements for the mixture . The case where is deterministic is studied in more detail in the framework of the Gortner–Ellis theorem. The results are applied to a ruin problem.
机译:令X_1,X_2,...是在中取值的随机向量序列。设为独立于过程{Xn}的随机d'×d矩阵。假设{Xn}满足具有凸率函数的较大偏差上限或下限。从此开始,我们得出混合物的大偏差陈述。确定性的情况在Gortner-Ellis定理的框架中进行了更详细的研究。将结果应用于破产问题。

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