Jones, M. C.; Marron, J. S. and Sheather, S. J.
A brief survey of bandwidth selection for density estimation.
Journal of the American Statistical Association, 91(433) pp. 401–407.
There has been major progress in recent years in data-based bandwidth selection for kernel density estimation. Some "second generation" methods, including plug-in and smoothed bootstrap techniques, have been developed that are far superior to well-known "first generation" methods, such as rules of thumb, least squares cross-validation, and biased cross-validation. We recommend a "solve-the-equation" plug-in bandwidth selector as being most reliable in terms of overall performance. This article is intended to provide easy accessibility to the main ideas for nonexperts.
Actions (login may be required)