A new approach to parameter estimation of mixture of two normal distributions-Reference-Cited by-同舟云学术

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A new approach to parameter estimation of mixture of two normal distributions

Published:2022-05-17 Issue: Volume: Page:1-27
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Li Yinan¹²,Fang Kai-Tai¹³

Affiliation:

1. Division of Science and Technology, BNU-HKBU United International College, Zhuhai, China

2. Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong

3. The Key Lab of Random Complex Structures and Data Analysis, The Chinese Academy of Sciences, Beijing, China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2033776

Reference36 articles.

1. Mixture Models, Outliers, and the EM Algorithm

2. Améndola, C., M. Drton, and B. Sturmfels. 2015. Maximum likelihood estimates for Gaussian mixtures are transcendental. arXiv: Statistics Theory.

3. Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models

4. Consistency of the MLE under Mixture Models

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