arXiv stat.ML
· Papers
Exact computation of posterior distribution of mixture weights in hierarchical Bayesian models
arXiv:2607.05692v1 Announce Type: cross Abstract: Hierarchical mixture models are a powerful tool for modeling data generated from heterogeneous sources, particularly when the mixing proportion $boldsymbol{w}$ itself is treated as a random variable with a Dirichlet or Beta-Liouville prior. Such models are widely emplo