Modular Bayesian Inference for Partially Misspecified Mixtures with Uncertain Class Labels

Scientific inference often involves observations from multiple latent populations whose class memberships are uncertain and must be inferred from available data. While full Bayesian mixture modelling provides a principled approach to joint uncertainty quantification in this setting, often the model