| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7548020 | Statistics & Probability Letters | 2018 | 7 Pages |
Abstract
We consider the problem of functional classification when the covariate may be unavailable (unobservable) on some subsets of its domain. Given the observed fragments of the functional covariates, we propose a strongly consistent nonparametric classifier based on local averaging.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Majid Mojirsheibani, Crystal Shaw,