A generative penalized likelihood model jointly captures quantitative-qualitative responses and predictors to achieve accurate classification, prediction, and asymptotic optimality.
On the adaptive elastic-net with a diverging number of parameters
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A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
A generative penalized likelihood model jointly captures quantitative-qualitative responses and predictors to achieve accurate classification, prediction, and asymptotic optimality.