Adaptive variable location kernel density estimators with good performance at boundaries

Kang, K; Park, B U; Jeong, Seok-On; Jones, M

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Adaptive variable location kernel density estimators with good performance at boundaries

Date

2003

Authors

Kang, K

Park, B U

Jeong, Seok-On

Jones, M

Publisher

Taylor & Francis Group

Abstract

This paper introduces new adaptive versions of the variable location density estimator which, for the first time, achieve bias improvement by an order of magnitude at the boundaries, as well as affording the usual higher order bias in the interior of the