Density estimation via the random forest method-Reference-Cited by-同舟云学术

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Density estimation via the random forest method

Published:2017-12-26 Issue:4 Volume:47 Page:877-889
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Wu Kaiyuan¹,Hou Wei²,Yang Hongbo³

Affiliation:

1. School of Mathematics and Systems Science, Beihang University, Beijing, China

2. Pathology Department, Health Science Center of Peking University, Beijing, China

3. School of Automation, Beijing Information Science and Technology University, Beijing, China

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2017.1285929

Reference24 articles.

1. Density estimation using bootstrap bandwidth selector

2. Kernel density estimation via diffusion

3. A comparative study of several smoothing methods in density estimation

4. On nonparametric local inference for density estimation

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms;INFORMS Journal on Data Science;2024-04

2. Tree based credible set estimation;Statistics and Computing;2021-09-08

3. Dependence structure estimation using Copula Recursive Trees;Journal of Multivariate Analysis;2021-09

4. A Coherent Performance for Noncoherent Wireless Systems Using AdaBoost Technique;Applied Sciences;2019-01-11

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