首页 | 本学科首页   官方微博 | 高级检索  
     


Fast Computation of Auxiliary Quantities in Local Polynomial Regression
Authors:B. A. Turlach  M. P. Wand
Affiliation:1. Centre for Mathematics and its Applications, Australian National University , Canberra , 2601 , Australia;2. Australian Graduate School of Management, University of New South Wales , Sydney , 2052 , Australia
Abstract: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.
Keywords:Binning  Cross-validation  Error degrees of freedom  Kernel estimator  Linear smoother  Mean average squared error  Smoother matrix  Standard error
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号