Skip navigation
Skip navigation

Data sharpening as a prelude to density estimation

Hall, Peter; Choi, E


We introduce a data-perturbation method for reducing bias of a wide variety of density estimators, in univariate, multivariate, spatial and spherical data settings. The method involves 'sharpening' the data by making them slightly more clustered than before, and then computing the estimator in the usual way, but from the sharpened data rather than the original data. The transformation depends in a simple, explicit way on the smoothing parameter employed for the density estimator, which may be...[Show more]

CollectionsANU Research Publications
Date published: 1999
Type: Journal article
Source: Biometrika


File Description SizeFormat Image
01_Hall_Data_sharpening_as_a_prelude_1999.pdf141.24 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  22 January 2019/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator