Sojourns and extremes of a diffusion process on a fixed interval

Author:

Berman Simeon M.

Abstract

Let X(t), , be an Ito diffusion process on the real line. For u > 0 and t > 0, let Lt (u) be the Lebesgue measure of the set . Limit theorems are obtained for (i) the distribution of Lt (u) for u → ∞and fixed t, and (ii) the tail of the distribution of the random variable max[0, t] X(s). The conditions on the process are stated in terms of the drift and diffusion coefficients. These conditions imply the existence of a stationary distribution for the process.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Statistics and Probability

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bibliography;Sojourns and Extremes of Stochastic Processes;2017-07-12

2. Local precise large and moderate deviations for sums of independent random variables;Chinese Annals of Mathematics, Series B;2016-08-13

3. Precise Large Deviations for Sums of Random Variables with Consistently Varying Tails in Multi-Risk Models;Journal of Applied Probability;2007-12

4. Some results involving the maximum of Brownian motion;Journal of Applied Probability;1993-12

5. Some remarks on Brownian motion with drift;Journal of Applied Probability;1989-09

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