Empirical Comparison of Nonparametric Regression Estimates on Real Data

DOI10.1080/03610918.2014.901357zbMath1402.62070OpenAlexW2044088318MaRDI QIDQ2820999

No author found.

Publication date: 16 September 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.901357

zbMATH Keywords

neural networksnonparametric regressionrandom forests\(L_2\) errorreal data performance

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Additive regression and other nonparametric models
• Consistent nonparametric regression. Discussion
• On the strong universal consistency of nearest neighbor regression function estimates
• Optimal global rates of convergence for nonparametric regression
• A distribution-free theory of nonparametric regression
• The rate of convergence of<tex>k_n</tex>-NN regression estimates and classification rules (Corresp.)
• Random forests

This page was built for publication: Empirical Comparison of Nonparametric Regression Estimates on Real Data