Improving kernel-based nonparametric regression for circular-linear data

DOI10.1007/S42081-022-00145-3OpenAlexW4210336684MaRDI QIDQ2166023

Masahiko Sagae, Yasuhito Tsuruta

Publication date: 23 August 2022

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42081-022-00145-3

zbMATH Keywords

local polynomial regressionkernel functionnonparametric regressioncircular-linear data

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Kernel density estimation with spherical data
• Kernel density estimation on the torus
• A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector
• Local polynomial regression for circular predictors
• Distribution free laws of the iterated logarithm for kernel estimator of regression function based on directional data
• Multivariate locally weighted least squares regression
• Higher order kernel density estimation on the circle
• Smooth estimators of distribution and density functions
• Testing parametric models in linear‐directional regression
• Nonparametric Regression for Spherical Data
• PROPERTIES FOR CIRCULAR NONPARAMETRIC REGRESSIONS BY VON MIESE AND WRAPPED CAUCHY KERNELS

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