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Exponential Martingales and Changes of Measure for Counting Processes

机译:指数Martin和计数过程量度的变化

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摘要

We give sufficient criteria for the Doleans-Dade exponential of a stochastic integral with respect to a counting process local martingale to be a true martingale. The criteria are adapted particularly to the case of counting processes and are sufficiently weak to be useful and verifiable, as we illustrate by several examples. In particular, the criteria allow for the construction of for example nonexplosive Hawkes processes, counting processes with stochastic intensities depending on diffusion processes as well as inhomogeneous finite-state Markov processes.
机译:我们为随机积分的Doleans-Dade指数给出了足够的标准,以使计数过程中的本地mar成为真正的mar。正如我们通过几个示例所说明的那样,该标准特别适合于计数过程的情况,并且足够弱以无法有用和可验证。特别地,该标准允许构造例如非爆炸霍克斯过程,根据扩散过程以及非均匀有限状态马尔可夫过程来计算具有随机强度的过程。

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