Bayesian approaches to variable selection in mixture models with application to disease clustering
Author:
Affiliation:
1. Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
2. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
Funder
Research Initialization Grant
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1994529
Reference61 articles.
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2. Model-Based Gaussian and Non-Gaussian Clustering
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5. Assessing a mixture model for clustering with the integrated completed likelihood
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