How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set?

DOI10.1016/S0378-3758(03)00155-1zbMath1045.62032OpenAlexW1997182596MaRDI QIDQ1877843

Michael Hamers, Michael Kohler

Publication date: 19 August 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(03)00155-1

zbMATH Keywords

Rate of convergenceRegression estimationDimension reduction

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates

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