Article ID Journal Published Year Pages File Type
1152064 Statistics & Probability Letters 2013 12 Pages PDF
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
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