Dimension reduction for regression estimation with nearest neighbor method

DOI10.1214/09-EJS559zbMath1329.62254MaRDI QIDQ1952062

Qian Dong, Benoît Cadre

Publication date: 27 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1272632666

zbMATH Keywords

dimension reductionsemiparametric regressioncentral mean subspacenearest neighbor methodSIR method

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12)

Related Items (1)

Minimax adaptive dimension reduction for regression

Cites Work

• Unnamed Item
• On almost linearity of low dimensional projections from high dimensional data
• A distribution-free theory of nonparametric regression
• Dimension reduction for conditional mean in regression
• Asymptotics for pooled marginal slicing estimator based on SIR\(_\alpha\) approach
• Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression
• Investigating Smooth Multiple Regression by the Method of Average Derivatives
• Sliced Inverse Regression for Dimension Reduction
• On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
• On the Interpretation of Regression Plots
• Graphics for Regressions With a Binary Response
• Using the Bootstrap to Select One of a New Class of Dimension Reduction Methods
• An Adaptive Estimation of Dimension Reduction Space
• Sufficient Dimension Reduction via Inverse Regression
• On Sliced Inverse Regression With High-Dimensional Covariates
• Comment

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