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stat.ME2026
Bayesian Analysis Using a Constrained Mixture of Normal-Inverse-Gamma Models
Madelyn Clinch, Jonathan R. Bradley, Andrés F. Barrientos +1
Gaussian mixtures of regressions are commonly implemented via a Gibbs sampler. This Markov chain Monte Carlo (MCMC) algorithm can be computationally burdensome because of the need…
stat.ME2026
Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
Luisa Ferrari, Maria Franco Villoria, Garritt L. Page +1
Clustering multivariate binary data is of interest in many scientific fields, including ecology, biomedicine, and social policy. Beyond heuristic clustering algorithms, such data c…