Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications-Reference-Cited by-同舟云学术

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Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications

Published:2023-04-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Industrial Technology (ICIT)
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Author:

Samiee Niloufar¹,Manouchehri Narges¹,Bouguila Nizar¹

Affiliation:

1. Concordia Institute for Information Systems Engineering (CIISE), Concordia University,Montreal,QC,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10143075/10143030/10143109.pdf?arnumber=10143109

Reference46 articles.

1. Finite Mixture Models

2. Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection

3. Deep learning for healthcare: review, opportunities and challenges

4. A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions

5. Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions

Cited by 1 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. Finite Libby-Novick Beta Mixture Model: An MML-Based Approach;Intelligent Information and Database Systems;2023

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