Mode merging for the finite mixture of t ‐distributions-Reference-Cited by-同舟云学术

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Mode merging for the finite mixture of t ‐distributions

Published:2021-03-10 Issue:1 Volume:10 Page:
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:Stat

Author:

Kim Nam‐Hwui¹^ORCID,Browne Ryan P.¹

Affiliation:

1. Department of Statistics and Actuarial Science University of Waterloo Waterloo Ontario N2L 3G1 Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.372

Reference33 articles.

1. Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions

2. teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution

3. Combining Mixture Components for Clustering

4. Ben‐David S. &Ackerman M.(2008).Measures of clustering quality: A working set of axioms for clustering. InProceedings of Neural Information Processing Systems (NIPS) Vancouver Canada. pp.121–128.

5. A mixture of generalized hyperbolic 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. Flexible mixture regression with the generalized hyperbolic distribution;Advances in Data Analysis and Classification;2023-01-04

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