Teoriâ veroâtnostej i ee primeneniâ, Tome 28 (1983) no. 1, pp. 164-169
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V. D. Konakov; V. I. Piterbarg. Rate of convergence of maximal deviation distributions for Gaussian processes and empirical density functions. II. Teoriâ veroâtnostej i ee primeneniâ, Tome 28 (1983) no. 1, pp. 164-169. http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a12/
@article{TVP_1983_28_1_a12,
author = {V. D. Konakov and V. I. Piterbarg},
title = {Rate of convergence of maximal deviation distributions for {Gaussian} processes and empirical density {functions.~II}},
journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
pages = {164--169},
year = {1983},
volume = {28},
number = {1},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a12/}
}
TY - JOUR
AU - V. D. Konakov
AU - V. I. Piterbarg
TI - Rate of convergence of maximal deviation distributions for Gaussian processes and empirical density functions. II
JO - Teoriâ veroâtnostej i ee primeneniâ
PY - 1983
SP - 164
EP - 169
VL - 28
IS - 1
UR - http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a12/
LA - ru
ID - TVP_1983_28_1_a12
ER -
%0 Journal Article
%A V. D. Konakov
%A V. I. Piterbarg
%T Rate of convergence of maximal deviation distributions for Gaussian processes and empirical density functions. II
%J Teoriâ veroâtnostej i ee primeneniâ
%D 1983
%P 164-169
%V 28
%N 1
%U http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a12/
%G ru
%F TVP_1983_28_1_a12
The results of the first part of the paper are applied to the construction of confidence regions for the unknown probability density ill the case of nonparametric Parzen–Rosenblatt's estimation.
