# A mixture likelihood approach for generalized linear models

@article{Wedel1995AML, title={A mixture likelihood approach for generalized linear models}, author={Michel Wedel and Wayne S. DeSarbo}, journal={Journal of Classification}, year={1995}, volume={12}, pages={21-55} }

A mixture model approach is developed that simultaneously estimates the posterior membership probabilities of observations to a number of unobservable groups or latent classes, and the parameters of a generalized linear model which relates the observations, distributed according to some member of the exponential family, to a set of specified covariates within each Class. We demonstrate how this approach handles many of the existing latent class regression procedures as special cases, as well as…

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