# Density estimation with distribution element trees

@article{Meyer2018DensityEW,
title={Density estimation with distribution element trees},
author={Daniel W. Meyer},
journal={Statistics and Computing},
year={2018},
volume={28},
pages={609-632}
}
• D. Meyer
• Published 2 October 2016
• Computer Science
• Statistics and Computing
The estimation of probability densities based on available data is a central task in many statistical applications. Especially in the case of large ensembles with many samples or high-dimensional sample spaces, computationally efficient methods are needed. We propose a new method that is based on a decomposition of the unknown distribution in terms of so-called distribution elements (DEs). These elements enable an adaptive and hierarchical discretization of the sample space with small or large…
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