Fast Computation of Auxiliary Quantities in Local Polynomial Regression
Year: 1996
Type: article
Abstract: We investigate the extension of binning methodology to fast computation of several auxiliary quantities that arise in local polynomial smoothing. Examples include degrees of freedom measures, cross-validation functions, variance estimates and exact measures of error. It is shown that the computational effort required for such approximations is of the same order of magnitude as that required for a binned local polynomial smooth.
Authors: B. A. Turlach, M. P. Wand
Institutions: Australian National University, UNSW Sydney
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3123961870
