Combining local and global smoothing in multivariate density estimation
Methodology
2016-10-10 v1 Machine Learning
Abstract
Non-parametric estimation of a multivariate density estimation is tackled via a method which combines traditional local smoothing with a form of global smoothing but without imposing a rigid structure. Simulation work delivers encouraging indications on the effectiveness of the method. An application to density-based clustering illustrates a possible usage.
Cite
@article{arxiv.1610.02372,
title = {Combining local and global smoothing in multivariate density estimation},
author = {Adelchi Azzalini},
journal= {arXiv preprint arXiv:1610.02372},
year = {2016}
}
Comments
Two figures, one table