| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7548219 | Statistics & Probability Letters | 2018 | 6 Pages |
Abstract
We propose optimal weighting schemes for both mean and covariance estimations for functional data based on local linear smoothing such that the L2 rate of convergence is minimized. These schemes can self-adjust to the sampling plan and lead to practical improvements.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Xiaoke Zhang, Jane-Ling Wang,