We obtain an integral formula for the density of the maximum of
smooth Gaussian processes. This expression induces explicit nonasymptotic lower
and upper bounds which are in general asymptotic to the density. Moreover,
these bounds allow us to derive simple asymptotic formulas for the density with
rate of approximation as well as accurate asymptotic bounds. In particular, in
the case of stationary processes, the latter upper bound improves the
well-known bound based on Rice's formula. In the case of processes with
variance admitting a finite number of maxima, we refine recent results obtained
by Konstant and Piterbarg in a broader context, producing the rate of
approximation for suitable variants of their asymptotic formulas. Our
constructive approach relies on a geometric representation of Gaussian
processes involving a unit speed parameterized curve embedded in the unit
sphere.
@article{1065725176,
author = {Diebolt, Jean and Posse, Christian},
title = {On the density of the maximum of smooth Gaussian
processes},
journal = {Ann. Probab.},
volume = {24},
number = {2},
year = {1996},
pages = { 1104-1129},
language = {en},
url = {http://dml.mathdoc.fr/item/1065725176}
}
Diebolt, Jean; Posse, Christian. On the density of the maximum of smooth Gaussian
processes. Ann. Probab., Tome 24 (1996) no. 2, pp. 1104-1129. http://gdmltest.u-ga.fr/item/1065725176/