Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1152064 | Statistics & Probability Letters | 2013 | 12 Pages |
Abstract
Smoothing methods for density estimators struggle when the shape of the reference density differs markedly from the actual density. We propose a bootstrap bandwidth selector where no reference distribution is used. It performs reliably in difficult cases and asymptotically outperforms well known automatic bandwidths.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Arup Bose, Santanu Dutta,