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LetX= (X(t))(t >= 0)(X(0) = 0) be a continuous centered Gaussian process on a probability space (omega,F,P), and let (Y-t)(t is an element of)[0,1] (Y-0= 0) be a continuous process… Click to show full abstract
LetX= (X(t))(t >= 0)(X(0) = 0) be a continuous centered Gaussian process on a probability space (omega,F,P), and let (Y-t)(t is an element of)[0,1] (Y-0= 0) be a continuous process (on the same probability space) with nondecreasing paths, independent ofX. Define the time-changed Gaussian processZ(t)=X(Y-t),t is an element of [0,1]. In this paper, we investigate a problem of finite-dimensional large deviations and a problem of pathwise large deviations for time-changed continuous Gaussian processes. As applications, we considered subordinated Gaussian processes.
Journal Title: Lithuanian Mathematical Journal
Year Published: 2020
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