Adaptive variable location kernel density estimators with good performance at boundaries

Park, B. U.; Jeong, Seok-Oh; Jones, M. C. and Kang, Kee-Hoon (2003). Adaptive variable location kernel density estimators with good performance at boundaries. Journal of Nonparametric Statistics, 15(1) pp. 61–75.

DOI: https://doi.org/10.1080/10485250306041

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 density support. We develop a general theoretical framework into which both these and earlier versions of adaptive variable location density estimators fit. This enables us to provide a single formula for the higher order biases and variances of these estimators. Numerical work for the comparison of these estimators with each other and with the conventional kernel density estimator reveals good properties of the proposed estimators.

Viewing alternatives

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

Recommendations