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The disorder problem for compound Poisson processes with exponential jumps

机译:具有指数跳跃的复合泊松过程的无序问题

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The problem of disorder seeks to determine a stopping time which is as close as possible to the unknown time of "disorder" when the observed process changes its probability characteristics. We give a partial answer to this question for some special cases of Levy processes and present a complete solution of the Bayesian and variational problem for a compound Poisson process with exponential jumps. The method of proof is based on reducing the Bayesian problem to an integro-differential free-boundary problem where, in some cases, the smooth-fit principle breaks down and is replaced by the principle of continuous fit.
机译:当观察到的过程改变其概率特性时,无序的问题试图确定停止时间,该停止时间尽可能接近未知的“障碍”时间。对于某些征费过程的特殊情况,我们给出了部分答案,并给出了具有指数跳跃的复合泊松过程的贝叶斯和变分问题的完整解决方案。证明方法基于将贝叶斯问题简化为积分微分自由边界问题,其中在某些情况下,平滑拟合原理被破坏,并由连续拟合原理代替。

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