Introduces lowBM3, the first rank-based Bayesian mixture model for joint unsupervised clustering and variable selection in ultra-high-dimensional data, with simulations and application to breast cancer RNA-seq.
Understanding uncertainty in bayesian cluster analysis.arXiv preprint arXiv:2506.16295
2 Pith papers cite this work. Polarity classification is still indexing.
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A Bayesian generative model represents the wave model as graph-based trait diffusion with death processes and supplies a Metropolis-Hastings-within-Gibbs sampler to recover the unknown contact graph from observed data.
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WaST: a formalisation of the Wave model with associated statistical inference and applications
A Bayesian generative model represents the wave model as graph-based trait diffusion with death processes and supplies a Metropolis-Hastings-within-Gibbs sampler to recover the unknown contact graph from observed data.