2 papers
stat.ML2026
Variational Consensus Monte Carlo for Bayesian Mixture
Julie Fendler, Francesca L. Crowe, Tom Marshall +2
Motivated by the privacy, sensitivity and sharing limitations of health data, we present a comprehensive pipeline for inference of Bayesian mixture models within a federated learni…
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-…