Modern Stochastics: Theory and Applications (Oct 2018)
Large deviations for conditionally Gaussian processes: estimates of level crossing probability
Abstract
The problem of (pathwise) large deviations for conditionally continuous Gaussian processes is investigated. The theory of large deviations for Gaussian processes is extended to the wider class of random processes – the conditionally Gaussian processes. The estimates of level crossing probability for such processes are given as an application.
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