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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 ...
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 ...
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