黎曼流形上的失真校正核密度估算器

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-10-24 DOI:10.1080/10618600.2024.2415543

Fan Cheng, Rob J Hyndman, Anastasios Panagiotelis

引用次数: 0

摘要

流形学习可获得支持高维数据的底层黎曼流形的低维表示。低维嵌入的核密度估计与高维嵌入的核密度估计是一致的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Distortion corrected kernel density estimator on Riemannian manifolds

Manifold learning obtains a low-dimensional representation of an underlying Riemannian manifold supporting high-dimensional data. Kernel density estimates of the low-dimensional embedding with a fi...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.