3 citations · 3 across the 3 of their papers we have counts for
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stat.ME2023
Bayesian outcome-guided multi-view mixture models with applications in molecular precision medicine
Paul D. W. Kirk, Filippo Pagani, Sylvia Richardson
Clustering is commonly performed as an initial analysis step for uncovering structure in 'omics datasets, e.g. to discover molecular subtypes of disease. The high-throughput, high-…
stat.ME2022★ 3 cited
Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?
Yannis Chaumeny, Johan van der Molen Moris, Anthony C. Davison +1
We consider the Bayesian mixture of finite mixtures (MFMs) and Dirichlet process mixture (DPM) models for clustering. Recent asymptotic theory has established that DPMs overestimat…