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stat.ML2016
A penalized likelihood method for classification with matrix-valued predictors
Aaron J. Molstad, Adam J. Rothman
We propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued. We simultaneously estimate the means and the precision m…
stat.ML2013
Ridge Fusion in Statistical Learning
Bradley S. Price, Charles J. Geyer, Adam J. Rothman
We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering. A ridge penalty and…