Discrete Mixture Priors

Peter Congdon · Wiley series in probability and statistics · 2006

This chapter contains sections titled: Introduction: the relevance and applicability of discrete mixtures Discrete mixtures of parametric densities Identifiability constraints Hurdle and zero-inflated models for discrete data Regression mixtures for heterogeneous subpopulations Discrete mixtures combined with parametric random effects Non-parametric mixture modelling via dirichlet process priors Other non-parametric priors Exercises References

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