Abstract
We obtain an asymptotically sharp error bound in the classical
Sudakov-Fernique comparison inequality for finite collections of gaussian
random variables. Our proof is short and self-contained, and gives an easy
alternative argument for the classical inequality, extended to the case of
non-centered processes.
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