Let be a real stationary gaussian field, defined on a probability space . We look at the asymptotic behavior of a particular stochastic integral, with respect to the geometric measure of the -level sets, , of the regularized field, obtained by composition of a convolution of , say , with a matrix normalization which contains part of the information contained in the spectral moments matrix of second order of .
Under the condition that the covariance function is twice continuously differentiable out of a set of zero Lebesgue's measure, this functional converges in to the local time of at the level . Furthermore, we give a bound for the speed of convergence.
Keywords: Random fields - Gaussian processes - Stationary processes - Random measures - Local time and additive functional - Smoothing, curve fitting - $L^p$-limit theorems - Geometric probability, stochastic geometry, random sets - Infinitely divisible distributions, stable distributions - Sums of independent random variables.
@phdthesis{BJHTUP11_1989__0241__A1_0, author = {Berzin, Corinne}, title = {Surfaces al\'eatoires : approximation du temps local}, series = {Th\`eses d'Orsay}, publisher = {Universit\'e de Paris-Sud Centre d'Orsay}, number = {241}, year = {1989}, language = {fr}, url = {http://archive.numdam.org/item/BJHTUP11_1989__0241__A1_0/} }
Berzin, Corinne. Surfaces aléatoires : approximation du temps local. Thèses d'Orsay, no. 241 (1989), 126 p. http://numdam.org/item/BJHTUP11_1989__0241__A1_0/
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