Small Deviation Probability via Chaining

Mathematics – Probability

Scientific paper

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to appear in: Stochastic Processes and Their Applications

Scientific paper

10.1016/j.spa.2008.01.005

We obtain several extensions of Talagrand's lower bound for the small deviation probability using metric entropy. For Gaussian processes, our investigations are focused on processes with sub-polynomial and, respectively, exponential behaviour of covering numbers. The corresponding results are also proved for non-Gaussian symmetric stable processes, both for the cases of critically small and critically large entropy. The results extensively use the classical chaining technique; at the same time they are meant to explore the limits of this method.

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