Adaptive Kernel In The Bootstrap Boosting Algorithm In KDE

Abstract

This paper proposes the use of adaptive kernel in a bootstrap boosting algorithm in kernel density estimation. The algorithm is a bias reduction scheme like other existing schemes but uses adaptive kernel instead of the regular fixed kernels. An empirical study for this scheme is conducted and the findings are comparatively interesting.

Keywords: Boosting, kernel density estimates, bias reduction, adaptive  kernel, bootstrap.