A new asymmetric Dirichlet prior informed by Penalized Complexity priors enables efficient fully Bayesian clustering of multivariate binary data via fixed large-component mixture models and MCMC.
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Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
A new asymmetric Dirichlet prior informed by Penalized Complexity priors enables efficient fully Bayesian clustering of multivariate binary data via fixed large-component mixture models and MCMC.