Modern Stochastics: Theory and Applications (Oct 2018)

Large deviations for conditionally Gaussian processes: estimates of level crossing probability

  • Barbara Pacchiarotti,
  • Alessandro Pigliacelli

DOI
https://doi.org/10.15559/18-VMSTA119
Journal volume & issue
Vol. 5, no. 4
pp. 483 – 499

Abstract

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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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