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Automatic Response Category Combination in Multinomial Logistic Regression
We propose a penalized likelihood method that simultaneously fits the multinomial logistic regression model and combines subsets of the response categories.
A penalized likelihood method for classification with matrix-valued predictors
We propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued.
Ridge Fusion in Statistical Learning
We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering.
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