Robust nonparametric regression on Riemannian manifolds

DOI10.1080/10485250902846439zbMath1165.62030OpenAlexW2081010655WikidataQ115295976 ScholiaQ115295976MaRDI QIDQ5321921

Daniela Rodriguez, Guillermo Henry

Publication date: 16 July 2009

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

Full work available at URL: https://doi.org/10.1080/10485250902846439

zbMATH Keywords

Riemannian manifoldsnonparametric regressionrobust estimationkernel weights\(k\)-nearest neighbour weights

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Monte Carlo methods (65C05) Methods of local Riemannian geometry (53B21)

Related Items

Partly linear models on Riemannian manifolds, Robust estimation in partially linear regression models with monotonicity constraints, Rates of the strong uniform consistency for the kernel-type regression function estimators with general kernels on manifolds, Robust Estimators in Partly Linear Regression Models on Riemannian Manifolds, Kernel density estimation on Riemannian manifolds: asymptotic results, Nonparametric least squares estimation in derivative families, Nonparametric recursive regression estimation on Riemannian manifolds, Nonparametric regression on Lie groups with measurement errors

Uses Software

• wle
• robustbase

Cites Work

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