A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector

DOI10.1016/j.camwa.2011.08.016zbMath1232.62067OpenAlexW2038437177MaRDI QIDQ662221

Xiaodong Yan, Jiang-She Zhang, Xu Qin

Publication date: 21 February 2012

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.08.016

zbMATH Keywords

rule-of-thumb bandwidth selector

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items

Improving kernel-based nonparametric regression for circular-linear data ⋮ Recent advances in directional statistics ⋮ Novel kernel density estimator based on ensemble unbiased cross-validation ⋮ A Bayesian model for longitudinal circular data based on the projected normal distribution

Cites Work

• Kernel density estimation on the torus
• Local polynomial regression for circular predictors
• Multivariate locally weighted least squares regression
• Nonparametric and semiparametric models.
• Bayesian analysis of semiparametric linear-circular models
• Topics in Circular Statistics
• An Effective Bandwidth Selector for Local Least Squares Regression
• Some Angular-Linear Distributions and Related Regression Models
• Multivariate Bandwidth Selection for Local Linear Regression
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