Data sharpening on unknown manifold

DOI10.1080/03610926.2016.1277756zbMath1384.62138OpenAlexW4243890444MaRDI QIDQ4605250

Masaki Kudo, Kanta Naito

Publication date: 21 February 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2016.1277756

zbMATH Keywords

manifoldbias reductionnonparametric regressiondata sharpeningdata sharpening (DS) techniquemultivariate predictor

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12)

Uses Software

• R

Cites Work

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• Local polynomial regression for circular predictors
• Bandwidth selection for a data sharpening estimator in nonparametric regression
• Multivariate locally weighted least squares regression
• Data sharpening methods for bias reduction in nonparametric regression.
• Regression on manifolds: estimation of the exterior derivative
• Boosting With theL₂Loss
• Nonparametric Regression for Spherical Data
• Local Linear Regression on Manifolds and Its Geometric Interpretation

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