Bayesian approaches to variable selection in mixture models with application to disease clustering

Research article (Journal of Applied Statistics, 2021) · cited 12× · AI/ML
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Bayesian approaches to variable selection in mixture models with application to disease clustering

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Bayesian approaches to variable selection in mixture models with application to disease clustering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian approaches to variable selection in mixture models with application to disease clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-approaches-to-variable-selection-in-mixture-models-with-application-to-disease-clustering
MLA “Bayesian approaches to variable selection in mixture models with application to disease clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-approaches-to-variable-selection-in-mixture-models-with-application-to-disease-clustering.
BibTeX @misc{4ortxyz_bayesian-approaches-to-variable-selection-in-mixture-models-with-application-to-disease-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian approaches to variable selection in mixture models with application to disease clustering}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-approaches-to-variable-selection-in-mixture-models-with-application-to-disease-clustering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian approaches to variable selection in mixture models with application to disease clustering — https://4ort.xyz/entity/bayesian-approaches-to-variable-selection-in-mixture-models-with-application-to-disease-clustering (retrieved 2026-05-24)

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