Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
976527 | Physica A: Statistical Mechanics and its Applications | 2016 | 5 Pages |
Abstract
•Simple non-parametric methods that overcome key limitations of the existing literature on both the joint and marginal density estimation.•Does not assume any form of the marginal distribution or joint distribution a priori.•The method circumvents the bandwidth selection problems.•Compare our method to the kernel density method.
We introduce very simple non-parametric methods that overcome key limitations of the existing literature on both the joint and marginal density estimation. In doing so, we do not assume any form of the marginal distribution or joint distribution a priori. Furthermore, our method circumvents the bandwidth selection problems. We compare our method to the kernel density method.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Moawia Alghalith,