Bayesian nonparametric modelling and inference encompasses a class of probabilistic methods that dispense with fixed‐dimensional parameter spaces in favour of priors defined on function or measure ...
Bayesian mixture modelling offers a probabilistic framework for representing heterogeneity in data by assuming observations arise from a mixture of latent subpopulations, each described by a component ...
The Annals of Statistics, Vol. 48, No. 4 (August 2020), pp. 2277-2302 (26 pages) Motivated by problems in data clustering, we establish general conditions under which families of nonparametric mixture ...
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