On a consistency of nonparametric estimator for regression function
Taurida Journal of Computer Science Theory and Mathematics, no. 4 (2021), pp. 7-12

Voir la notice de l'article provenant de la source Math-Net.Ru

A sufficient condition for the consistency of nonparametric estimator for regression function based on the partial Fourier-Lagrange sums is proved.
Keywords: nonparametric regression, consistency, estimator, orthogonal series.
@article{TVIM_2021_4_a0,
     author = {V. V. Novikov},
     title = {On a consistency of nonparametric estimator for regression function},
     journal = {Taurida Journal of Computer Science Theory and Mathematics},
     pages = {7--12},
     publisher = {mathdoc},
     number = {4},
     year = {2021},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/TVIM_2021_4_a0/}
}
TY  - JOUR
AU  - V. V. Novikov
TI  - On a consistency of nonparametric estimator for regression function
JO  - Taurida Journal of Computer Science Theory and Mathematics
PY  - 2021
SP  - 7
EP  - 12
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/TVIM_2021_4_a0/
LA  - en
ID  - TVIM_2021_4_a0
ER  - 
%0 Journal Article
%A V. V. Novikov
%T On a consistency of nonparametric estimator for regression function
%J Taurida Journal of Computer Science Theory and Mathematics
%D 2021
%P 7-12
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/TVIM_2021_4_a0/
%G en
%F TVIM_2021_4_a0
V. V. Novikov. On a consistency of nonparametric estimator for regression function. Taurida Journal of Computer Science Theory and Mathematics, no. 4 (2021), pp. 7-12. http://geodesic.mathdoc.fr/item/TVIM_2021_4_a0/