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Asymptotic Results for First-Passage Times of Some Exponential Processes

机译:一些指数过程的第一段时间的渐近结果

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We consider the process {V (t) : t 0} defined by V (t) = v(0)e(X(t)) (for all t 0), where v(0) 0 and {X(t) : t 0} is a compound Poisson process with exponentially distributed jumps and a negative drift. This process can be seen as the neuronal membrane potential in the stochastic model for the firing activity of a neuronal unit presented in Di Crescenzo and Martinucci (Math Biosci 209(2):547-563 2007). We also consider the process (for all t 0) and is the Normal approximation (as) of the process {X(t) : t 0}. In this paper we are interested in the first-passage times through a constant firing threshold (where v(0)) for both processes {V (t) : t 0} and in the fashion of large deviations. We also study some statistical applications for both models, with some numerical evaluations and simulation results.
机译:我们考虑由v(t)= v(0)e(x(t))定义的过程{v(t):t 0}(对于所有t 0),其中v(0)& 0和{x( T):T 0}是一种复合泊松过程,具有指数分布的跳跃和负漂移。 该方法可以被视为在DI Crescenzo和Martinucci(Math Biosci 209(2):547-563 2007)中呈现的神经元单元的随机模型中的神经元膜电位。 我们还考虑该过程(对于所有T 0),并且是过程的正常近似(AS){x(t):t 0}。 在本文中,我们通过恒定的射击阈值(其中& v(0))对过程{v(t):t 0}和较大的偏差方式来感兴趣。 我们还研究了两种模型的一些统计应用,具有一些数值评估和仿真结果。

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