A note on estimating multivariate Gaussian mixtures with unknown number of components

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-03-06 DOI:10.1080/03610926.2024.2321498

Yingwei Zhou

引用次数: 0

Abstract

In this article, a new penalized likelihood method is proposed for finite multivariate Gaussian mixture models to conduct order selection and model estimation. The method is proved to achieve order...

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关于估计成分数量未知的多元高斯混合物的说明

本文提出了一种新的惩罚似然法，用于有限多元高斯混合模型的阶次选择和模型估计。事实证明，该方法可以实现阶...

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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来源期刊

Communications in Statistics - Theory and Methods 数学-统计学与概率论

CiteScore

2.00

自引率

12.50%

发文量

320

审稿时长

7.5 months

期刊介绍： The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.