Convergence rates of orthogonal series regression estimators
Applicationes Mathematicae, Tome 27 (2000) no. 4, pp. 445-454
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
General conditions for convergence rates of nonparametric orthogonal series estimators of the regression function f(x)=E(Y | X = x) are considered. The estimators are obtained by the least squares method on the basis of a random observation sample (Y_i,X_i), i=1,...,n, where $X_i ∈ A ⊂ ℝ^d$ have marginal distribution with density $ϱ ∈ L^1(A)$ and Var( Y | X = x) is bounded on A. Convergence rates of the errors $E_X(f(X)-\widehat f_N(X))^2$ and $\Vert f-\widehat f_N\Vert_∞$ for the estimator $\widehat f_N(x) = \sum_{k=1}^N\widehat c_ke_k(x)$, constructed using an orthonormal system $e_k$, k=1,2,..., in $L^2(A)$ are obtained.
DOI :
10.4064/am-27-4-445-454
Keywords:
orthonormal system, nonparametric series regression, least squares method, convergence rate
Waldemar Popiński. Convergence rates of orthogonal series regression estimators. Applicationes Mathematicae, Tome 27 (2000) no. 4, pp. 445-454. doi: 10.4064/am-27-4-445-454
@article{10_4064_am_27_4_445_454,
author = {Waldemar Popi\'nski},
title = {Convergence rates of orthogonal series regression estimators},
journal = {Applicationes Mathematicae},
pages = {445--454},
year = {2000},
volume = {27},
number = {4},
doi = {10.4064/am-27-4-445-454},
zbl = {0992.62040},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am-27-4-445-454/}
}
TY - JOUR AU - Waldemar Popiński TI - Convergence rates of orthogonal series regression estimators JO - Applicationes Mathematicae PY - 2000 SP - 445 EP - 454 VL - 27 IS - 4 UR - http://geodesic.mathdoc.fr/articles/10.4064/am-27-4-445-454/ DO - 10.4064/am-27-4-445-454 LA - en ID - 10_4064_am_27_4_445_454 ER -
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