Work

Density Estimation Trees in High Energy Physics

Year: 2015

Type: preprint

Abstract: Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1502.00932

Author: Anderlini, Lucio

Institutions: Istituto Nazionale di Fisica Nucleare, Istituto Nazionale di Fisica Nucleare, Sezione di Firenze

Language: English

Topic: Statistical Methods and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1536801370

Cites: 3

Cited by:

Related to: 20