Maximum Kernel Likelihood Estimation
Published in Journal of Computational and Graphical Statistics • Dec 1, 2008
NobleIDNI0P43W82R71S55
Authors:,
Thomas Jaki
R. Webster West
Abstract
AbstractWe introduce an estimator for the population mean based on maximizing likelihoods formed by parameterizing a kernel density estimate. Due to these origins, we have dubbed the estimator the maximum kernel likelihood estimate (MKLE). A speedy computational method to compute the MKLE based on b...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!