Finite Mixture Models

By Geoffrey J. McLachlan, David Peel. Wiley Series in Probability and Statistics, 2000

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A mixture of generalized hyperbolic distributions (2013, background): “There is also the possibility of considering a generalized hyperbolic analogue of the mixture of factor analyzers (Ghahramani and Hinton, 1997; McLachlan and Peel, 2000) or mixture of common factors (Baek et al.”
Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging (2007, methodology): “The BMA model (4) is a finite mixture model (McLachlan and Peel 2000).”
The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation (2009, methodology): “d estimator. In many applications, the group membership as well as the number of groups may be unknown. In this case, CATE may be estimated via standard methods for ﬁtting ﬁnite mixture models (e.g., McLaughlan and Peel, 2000). 4.6 Cluster-Level Quantities of Interest The eight quantities of interes”