Local linear multivariate regression with variable bandwidth in the presence of heteroscedasticity

Working papers
Authors

Ye Azhong, Rob J Hyndman, Zinai Li

Published

1 May 2006

Publication details

Working paper

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We present a local linear estimator with variable bandwidth for multivariate nonparametric regression. We prove its consistency and asymptotic normality in the interior of the observed data and obtain its rates of convergence. This result is used to obtain practical direct plug-in bandwidth selectors for heteroscedastic regression in one and two dimensions. We show that the local linear estimator with variable bandwidth has better goodness-of-fit properties than the local linear estimator with constant bandwidth, in the presence of heteroscedasticity.

Keywords: heteroscedasticity; kernel smoothing; local linear regression; plug-in bandwidth, variable bandwidth.