A variable clustering approach for overdispersed high-dimensional count data using a copula-based mixture model-Reference-Cited by-同舟云学术

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A variable clustering approach for overdispersed high-dimensional count data using a copula-based mixture model

Published:2024-02-20 Issue: Volume: Page:1-21
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Brini Alberto¹,Manju Abu¹,van den Heuvel Edwin R.¹

Affiliation:

1. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

Funder

NWO-PTA-COAST3

Outfitting the Factory of the Future with Online analysis (OFF/On) consortium

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2024.2314666

Reference85 articles.

1. Pair-copula constructions of multiple dependence

2. Multistage approach for clustering and classification of ECG data

3. A new look at the statistical model identification

4. Estimating the Negative Binomial Dispersion Parameter

5. Estimation of the shape parameter k of the negative binomial distribution

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